Deck 8: Analyzing Multivariable Change: Optimization

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Question
Locate and classify any critical points. <strong>Locate and classify any critical points.  </strong> A) (0, 1, 62), relative minimum point (2, 0, 66), relative maximum point (0, 1, 61), is a saddle point, (1, 0, 64), saddle point B) (0, 0, 60), relative minimum point (2, 1, 68), relative maximum point (0, 1, 64), is a saddle point, (2, 0, 64), saddle point C) (1, 0, 60), relative minimum point (0, 1, 68), relative maximum point (0, 1, 64), is a saddle point, (1, 0, 64), saddle point D) (0, 1, 60), relative minimum point (1, 1, 64), relative maximum point (0, 1, 62), is a saddle point, (2, 0, 64), saddle point E) (1, 0, 60), relative minimum point (2, 1, 68), relative maximum point (0, 1, 61), is a saddle point, (0, 0, 64), saddle point <div style=padding-top: 35px>

A) (0, 1, 62), relative minimum point
(2, 0, 66), relative maximum point
(0, 1, 61), is a saddle point,
(1, 0, 64), saddle point
B) (0, 0, 60), relative minimum point
(2, 1, 68), relative maximum point
(0, 1, 64), is a saddle point,
(2, 0, 64), saddle point
C) (1, 0, 60), relative minimum point
(0, 1, 68), relative maximum point
(0, 1, 64), is a saddle point,
(1, 0, 64), saddle point
D) (0, 1, 60), relative minimum point
(1, 1, 64), relative maximum point
(0, 1, 62), is a saddle point,
(2, 0, 64), saddle point
E) (1, 0, 60), relative minimum point
(2, 1, 68), relative maximum point
(0, 1, 61), is a saddle point,
(0, 0, 64), saddle point
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Question
A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.</strong> A)   ml B)   ml C)   ml D)   ml E)   ml <div style=padding-top: 35px> percent, where r is the amount of milliliters of water per gram of sunflower used for washing and <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.</strong> A)   ml B)   ml C)   ml D)   ml E)   ml <div style=padding-top: 35px> is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.

A) <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.</strong> A)   ml B)   ml C)   ml D)   ml E)   ml <div style=padding-top: 35px> ml
B) <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.</strong> A)   ml B)   ml C)   ml D)   ml E)   ml <div style=padding-top: 35px> ml
C) <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.</strong> A)   ml B)   ml C)   ml D)   ml E)   ml <div style=padding-top: 35px> ml
D) <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.</strong> A)   ml B)   ml C)   ml D)   ml E)   ml <div style=padding-top: 35px> ml
E) <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.</strong> A)   ml B)   ml C)   ml D)   ml E)   ml <div style=padding-top: 35px> ml
Question
Locate and classify any critical points. <strong>Locate and classify any critical points.  </strong> A)   , saddle point B)   , saddle point C)   , saddle point D)   , saddle point E)   , saddle point <div style=padding-top: 35px>

A) <strong>Locate and classify any critical points.  </strong> A)   , saddle point B)   , saddle point C)   , saddle point D)   , saddle point E)   , saddle point <div style=padding-top: 35px> , saddle point
B) <strong>Locate and classify any critical points.  </strong> A)   , saddle point B)   , saddle point C)   , saddle point D)   , saddle point E)   , saddle point <div style=padding-top: 35px> , saddle point
C) <strong>Locate and classify any critical points.  </strong> A)   , saddle point B)   , saddle point C)   , saddle point D)   , saddle point E)   , saddle point <div style=padding-top: 35px> , saddle point
D) <strong>Locate and classify any critical points.  </strong> A)   , saddle point B)   , saddle point C)   , saddle point D)   , saddle point E)   , saddle point <div style=padding-top: 35px> , saddle point
E) <strong>Locate and classify any critical points.  </strong> A)   , saddle point B)   , saddle point C)   , saddle point D)   , saddle point E)   , saddle point <div style=padding-top: 35px> , saddle point
Question
A model for the elevation above sea level of a tract of farmland is <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points   of E. Round your answers to three decimal places.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points   of E. Round your answers to three decimal places.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> of E. Round your answers to three decimal places.

A) <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points   of E. Round your answers to three decimal places.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points   of E. Round your answers to three decimal places.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points   of E. Round your answers to three decimal places.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points   of E. Round your answers to three decimal places.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points   of E. Round your answers to three decimal places.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
A restaurant mixes ground beef that costs $b per pound with pork sausage that costs $p per pound to make a meat mixture that is used on the restaurant's signature pizza. The quarterly revenue, in thousands of dollars, from the sale of this pizza is given by the equation <strong>A restaurant mixes ground beef that costs $b per pound with pork sausage that costs $p per pound to make a meat mixture that is used on the restaurant's signature pizza. The quarterly revenue, in thousands of dollars, from the sale of this pizza is given by the equation   To the nearest thousand dollars, what is the maximum quarterly revenue from the sale of the restaurant's signature pizza?</strong> A) 55 thousand dollars B) 47 thousand dollars C) 8 thousand dollars D) 36 thousand dollars E) 28 thousand dollars <div style=padding-top: 35px> To the nearest thousand dollars, what is the maximum quarterly revenue from the sale of the restaurant's signature pizza?

A) 55 thousand dollars
B) 47 thousand dollars
C) 8 thousand dollars
D) 36 thousand dollars
E) 28 thousand dollars
Question
Consider the contour and associated three-dimensional graph of <strong>Consider the contour and associated three-dimensional graph of   Is the point at which   and   a relative maximum point, a relative minimum point, or a saddle point?    </strong> A) saddle point B) relative maximum C) relative minimum <div style=padding-top: 35px> Is the point at which <strong>Consider the contour and associated three-dimensional graph of   Is the point at which   and   a relative maximum point, a relative minimum point, or a saddle point?    </strong> A) saddle point B) relative maximum C) relative minimum <div style=padding-top: 35px> and <strong>Consider the contour and associated three-dimensional graph of   Is the point at which   and   a relative maximum point, a relative minimum point, or a saddle point?    </strong> A) saddle point B) relative maximum C) relative minimum <div style=padding-top: 35px> a relative maximum point, a relative minimum point, or a saddle point? <strong>Consider the contour and associated three-dimensional graph of   Is the point at which   and   a relative maximum point, a relative minimum point, or a saddle point?    </strong> A) saddle point B) relative maximum C) relative minimum <div style=padding-top: 35px> <strong>Consider the contour and associated three-dimensional graph of   Is the point at which   and   a relative maximum point, a relative minimum point, or a saddle point?    </strong> A) saddle point B) relative maximum C) relative minimum <div style=padding-top: 35px>

A) saddle point
B) relative maximum
C) relative minimum
Question
Milk proteins are sometimes added to sausage to reduce shrinking due to cooking loss and improve the texture of the sausage. Suppose the cooking loss (expressed as a percentage of initial weight) can be modeled by <strong>Milk proteins are sometimes added to sausage to reduce shrinking due to cooking loss and improve the texture of the sausage. Suppose the cooking loss (expressed as a percentage of initial weight) can be modeled by   percent, where w is the proportion of whey protein and s is the proportion of skim milk powder. Determine whether the function L has a relative maximum, relative minimum, or a saddle point, and find the corresponding proportions of whey protein and skim milk powder at that point. Round your answer to the nearest hundredth of a percent.</strong> A) relative maximum Whey protein: 5.62% Skim milk powder: 5.04% B) relative minimum Whey protein: 5.62% Skim milk powder: 5.04% C) relative maximum Whey protein: 19.83% Skim milk powder: 17.78% D) relative maximum Whey protein: 17.78% Skim milk powder: 19.83% E) saddle point Whey protein: 17.78% Skim milk powder: 19.83% <div style=padding-top: 35px> percent, where w is the proportion of whey protein and s is the proportion of skim milk powder. Determine whether the function L has a relative maximum, relative minimum, or a saddle point, and find the corresponding proportions of whey protein and skim milk powder at that point. Round your answer to the nearest hundredth of a percent.

A) relative maximum
Whey protein: 5.62%
Skim milk powder: 5.04%
B) relative minimum
Whey protein: 5.62%
Skim milk powder: 5.04%
C) relative maximum
Whey protein: 19.83%
Skim milk powder: 17.78%
D) relative maximum
Whey protein: 17.78%
Skim milk powder: 19.83%
E) saddle point
Whey protein: 17.78%
Skim milk powder: 19.83%
Question
A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Is the critical point of P a maximum, minimum or saddle point?</strong> A) maximum B) minimum C) saddle point D) cannot be determined <div style=padding-top: 35px> percent, where r is the amount of milliliters of water per gram of sunflower used for washing and <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Is the critical point of P a maximum, minimum or saddle point?</strong> A) maximum B) minimum C) saddle point D) cannot be determined <div style=padding-top: 35px> is the water temperature. Is the critical point of P a maximum, minimum or saddle point?

A) maximum
B) minimum
C) saddle point
D) cannot be determined
Question
Consider the following contour graph and three-dimensional graph for a function F with inputs x and y. On the basis of the graphs approximate the inputs and output of each critical point in the form <strong>Consider the following contour graph and three-dimensional graph for a function F with inputs x and y. On the basis of the graphs approximate the inputs and output of each critical point in the form      </strong> A) relative maximum: none Relative minimum: (1,1,-5) Saddle point: (0,0,0) B) relative maximum: none Relative minimum: (1,1,-1) Saddle point: (0,0,0) C) relative maximum: none Relative minimum: (1,1,-1) Saddle point: (0,0,-1) D) relative maximum: (1,1,-1) Relative minimum: (-3,-3,-75) Saddle point: (0,0,-1) E) relative maximum: (0,0,0) Relative minimum: (1,1,-1) Saddle point: none <div style=padding-top: 35px> <strong>Consider the following contour graph and three-dimensional graph for a function F with inputs x and y. On the basis of the graphs approximate the inputs and output of each critical point in the form      </strong> A) relative maximum: none Relative minimum: (1,1,-5) Saddle point: (0,0,0) B) relative maximum: none Relative minimum: (1,1,-1) Saddle point: (0,0,0) C) relative maximum: none Relative minimum: (1,1,-1) Saddle point: (0,0,-1) D) relative maximum: (1,1,-1) Relative minimum: (-3,-3,-75) Saddle point: (0,0,-1) E) relative maximum: (0,0,0) Relative minimum: (1,1,-1) Saddle point: none <div style=padding-top: 35px> <strong>Consider the following contour graph and three-dimensional graph for a function F with inputs x and y. On the basis of the graphs approximate the inputs and output of each critical point in the form      </strong> A) relative maximum: none Relative minimum: (1,1,-5) Saddle point: (0,0,0) B) relative maximum: none Relative minimum: (1,1,-1) Saddle point: (0,0,0) C) relative maximum: none Relative minimum: (1,1,-1) Saddle point: (0,0,-1) D) relative maximum: (1,1,-1) Relative minimum: (-3,-3,-75) Saddle point: (0,0,-1) E) relative maximum: (0,0,0) Relative minimum: (1,1,-1) Saddle point: none <div style=padding-top: 35px>

A) relative maximum: none
Relative minimum: (1,1,-5)
Saddle point: (0,0,0)
B) relative maximum: none
Relative minimum: (1,1,-1)
Saddle point: (0,0,0)
C) relative maximum: none
Relative minimum: (1,1,-1)
Saddle point: (0,0,-1)
D) relative maximum: (1,1,-1)
Relative minimum: (-3,-3,-75)
Saddle point: (0,0,-1)
E) relative maximum: (0,0,0)
Relative minimum: (1,1,-1)
Saddle point: none
Question
Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:   <div style=padding-top: 35px> grams, where the pH of the fat mixture is <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:   <div style=padding-top: 35px> and the temperature is <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:   <div style=padding-top: 35px> Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.

A) pH: 4.12
Temperature: <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:   <div style=padding-top: 35px>
B) pH: 6.22
Temperature: <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:   <div style=padding-top: 35px>
C) pH: 0.71
Temperature: <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:   <div style=padding-top: 35px>
D) pH: 6.34
Temperature: <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:   <div style=padding-top: 35px>
E) pH: 6.06
Temperature: <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:   <div style=padding-top: 35px>
Question
Is the point <strong>Is the point   and   on the contour graph below a relative maximum point, a relative minimum point, or a saddle point?  </strong> A) relative minimum B) relative maximum C) saddle point <div style=padding-top: 35px> and <strong>Is the point   and   on the contour graph below a relative maximum point, a relative minimum point, or a saddle point?  </strong> A) relative minimum B) relative maximum C) saddle point <div style=padding-top: 35px> on the contour graph below a relative maximum point, a relative minimum point, or a saddle point? <strong>Is the point   and   on the contour graph below a relative maximum point, a relative minimum point, or a saddle point?  </strong> A) relative minimum B) relative maximum C) saddle point <div style=padding-top: 35px>

A) relative minimum
B) relative maximum
C) saddle point
Question
Locate and classify any critical points. <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point <div style=padding-top: 35px>

A) <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point <div style=padding-top: 35px> , saddle point <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point <div style=padding-top: 35px> , relative minimum point
B) <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point <div style=padding-top: 35px> , saddle point <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point <div style=padding-top: 35px> , relative minimum point
C) <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point <div style=padding-top: 35px> , saddle point <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point <div style=padding-top: 35px> , relative minimum point
D) <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point <div style=padding-top: 35px> , saddle point <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point <div style=padding-top: 35px> , relative minimum point
E) <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point <div style=padding-top: 35px> , saddle point <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point <div style=padding-top: 35px> , relative maximum point
Question
Suppose the table shows the average price of certain produce, in cents per pound, for selected months and years. Locate all critical points in the table and identify each point as a relative maximum point, relative minimum point, or a saddle point. <strong>Suppose the table shows the average price of certain produce, in cents per pound, for selected months and years. Locate all critical points in the table and identify each point as a relative maximum point, relative minimum point, or a saddle point.  </strong> A) relative maximum point(s): (May 1995); (May 1998) Relative minimum point(s): (May1996) Saddle point(s): (March 1996) B) relative maximum point(s) (May 1995) Relative minimum point(s): (April 1994) and (June 1994) Saddle point(s): (March 1996) C) relative maximum point(s): (May 1995); (May 1998); (March 1999) Relative minimum point(s): (February 1994); (April 1995); (June 1994); (May 1996); (February 1997); (June 1997) Saddle point(s): (March 1994); (May 1994); (February 1995); (June 1995); (March 1996); (June 1998) D) relative maximum point(s): (May 1995) Relative minimum point(s): (April 1994) and (June 1994) Saddle point(s): (March 1994); (May 1994); (February 1995); (June 1995); (March 1996); (June 1998) E) none of these <div style=padding-top: 35px>

A) relative maximum point(s): (May 1995); (May 1998)
Relative minimum point(s): (May1996)
Saddle point(s): (March 1996)
B) relative maximum point(s) (May 1995)
Relative minimum point(s): (April 1994) and (June 1994)
Saddle point(s): (March 1996)
C) relative maximum point(s): (May 1995); (May 1998); (March 1999)
Relative minimum point(s): (February 1994); (April 1995); (June 1994); (May 1996); (February 1997); (June 1997)
Saddle point(s): (March 1994); (May 1994); (February 1995); (June 1995); (March 1996); (June 1998)
D) relative maximum point(s): (May 1995)
Relative minimum point(s): (April 1994) and (June 1994)
Saddle point(s): (March 1994); (May 1994); (February 1995); (June 1995); (March 1996); (June 1998)
E) none of these
Question
The consistometer table gives the consistency of applesauce as a function of the number of months the raw apples were stored and the temperature at which they were blanched. The consistometer value is a measure of how far (in centimeters) an amount of applesauce flows down a vertical surface in 30 seconds. Sketch the contour curves on the table for the consistometer values of 2.8 and 3.2. <strong>The consistometer table gives the consistency of applesauce as a function of the number of months the raw apples were stored and the temperature at which they were blanched. The consistometer value is a measure of how far (in centimeters) an amount of applesauce flows down a vertical surface in 30 seconds. Sketch the contour curves on the table for the consistometer values of 2.8 and 3.2.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>The consistometer table gives the consistency of applesauce as a function of the number of months the raw apples were stored and the temperature at which they were blanched. The consistometer value is a measure of how far (in centimeters) an amount of applesauce flows down a vertical surface in 30 seconds. Sketch the contour curves on the table for the consistometer values of 2.8 and 3.2.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>The consistometer table gives the consistency of applesauce as a function of the number of months the raw apples were stored and the temperature at which they were blanched. The consistometer value is a measure of how far (in centimeters) an amount of applesauce flows down a vertical surface in 30 seconds. Sketch the contour curves on the table for the consistometer values of 2.8 and 3.2.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>The consistometer table gives the consistency of applesauce as a function of the number of months the raw apples were stored and the temperature at which they were blanched. The consistometer value is a measure of how far (in centimeters) an amount of applesauce flows down a vertical surface in 30 seconds. Sketch the contour curves on the table for the consistometer values of 2.8 and 3.2.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>The consistometer table gives the consistency of applesauce as a function of the number of months the raw apples were stored and the temperature at which they were blanched. The consistometer value is a measure of how far (in centimeters) an amount of applesauce flows down a vertical surface in 30 seconds. Sketch the contour curves on the table for the consistometer values of 2.8 and 3.2.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>The consistometer table gives the consistency of applesauce as a function of the number of months the raw apples were stored and the temperature at which they were blanched. The consistometer value is a measure of how far (in centimeters) an amount of applesauce flows down a vertical surface in 30 seconds. Sketch the contour curves on the table for the consistometer values of 2.8 and 3.2.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
Suppose that <strong>Suppose that   is the production function for a product with x units of one input and y units of a second input. Find the values of x and y that will maximize production.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> is the production function for a product with x units of one input and y units of a second input. Find the values of x and y that will maximize production.

A) <strong>Suppose that   is the production function for a product with x units of one input and y units of a second input. Find the values of x and y that will maximize production.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>Suppose that   is the production function for a product with x units of one input and y units of a second input. Find the values of x and y that will maximize production.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>Suppose that   is the production function for a product with x units of one input and y units of a second input. Find the values of x and y that will maximize production.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>Suppose that   is the production function for a product with x units of one input and y units of a second input. Find the values of x and y that will maximize production.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>Suppose that   is the production function for a product with x units of one input and y units of a second input. Find the values of x and y that will maximize production.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
Consider the contour graph and the three-dimensional graph for the function R, given below. What critical point is represented by the point A on the contour map? <strong>Consider the contour graph and the three-dimensional graph for the function R, given below. What critical point is represented by the point A on the contour map?    </strong> A) relative maximum B) saddle point C) global maximum D) relative minimum E) not a critical point <div style=padding-top: 35px> <strong>Consider the contour graph and the three-dimensional graph for the function R, given below. What critical point is represented by the point A on the contour map?    </strong> A) relative maximum B) saddle point C) global maximum D) relative minimum E) not a critical point <div style=padding-top: 35px>

A) relative maximum
B) saddle point
C) global maximum
D) relative minimum
E) not a critical point
Question
Test for relative maxima and minima. <strong>Test for relative maxima and minima.  </strong> A) saddle point at   B) saddle point at   C) saddle point at   D) relative minimum at   E) relative minimum at   <div style=padding-top: 35px>

A) saddle point at <strong>Test for relative maxima and minima.  </strong> A) saddle point at   B) saddle point at   C) saddle point at   D) relative minimum at   E) relative minimum at   <div style=padding-top: 35px>
B) saddle point at <strong>Test for relative maxima and minima.  </strong> A) saddle point at   B) saddle point at   C) saddle point at   D) relative minimum at   E) relative minimum at   <div style=padding-top: 35px>
C) saddle point at <strong>Test for relative maxima and minima.  </strong> A) saddle point at   B) saddle point at   C) saddle point at   D) relative minimum at   E) relative minimum at   <div style=padding-top: 35px>
D) relative minimum at <strong>Test for relative maxima and minima.  </strong> A) saddle point at   B) saddle point at   C) saddle point at   D) relative minimum at   E) relative minimum at   <div style=padding-top: 35px>
E) relative minimum at <strong>Test for relative maxima and minima.  </strong> A) saddle point at   B) saddle point at   C) saddle point at   D) relative minimum at   E) relative minimum at   <div style=padding-top: 35px>
Question
Suppose table shows the average price of bananas, in cents per pound, for selected months and years. Locate all relative maximum points, minimum points, and saddle points. <strong>Suppose table shows the average price of bananas, in cents per pound, for selected months and years. Locate all relative maximum points, minimum points, and saddle points.  </strong> A) none of these B) relative maximum point(s): (July 1998); (June 1999); (August 1999) Relative minimum points(s): (July 1994); (September 1994); (May 1997) Saddle point(s): (June 1997); (August 1997) C) relative maximum point(s): (August, 1995); (June 1996) Relative minimum points(s): (July 1997); (May 1999); (July 1999); (September 1999) Saddle point(s): (May 1998); (September 1998) D) relative maximum point(s): (June 1996) Relative minimum points(s): (July 1997) Saddle point(s): (June 1997); (August 1997) E) relative maximum point(s): (August, 1995); (June 1996); (July 1998) Relative minimum points(s): (July 1997) Saddle point(s): (June 1997); (August 1997) <div style=padding-top: 35px>

A) none of these
B) relative maximum point(s): (July 1998); (June 1999); (August 1999)
Relative minimum points(s): (July 1994); (September 1994); (May 1997)
Saddle point(s): (June 1997); (August 1997)
C) relative maximum point(s): (August, 1995); (June 1996)
Relative minimum points(s): (July 1997); (May 1999); (July 1999); (September 1999)
Saddle point(s): (May 1998); (September 1998)
D) relative maximum point(s): (June 1996)
Relative minimum points(s): (July 1997)
Saddle point(s): (June 1997); (August 1997)
E) relative maximum point(s): (August, 1995); (June 1996); (July 1998)
Relative minimum points(s): (July 1997)
Saddle point(s): (June 1997); (August 1997)
Question
A nursery sells mulch by the truckload. Bark mulch sells for $b per load and pine straw sells for $p per load. The nursery's average weekly profit form the sale of these two types of mulch can be modeled by the equation <strong>A nursery sells mulch by the truckload. Bark mulch sells for $b per load and pine straw sells for $p per load. The nursery's average weekly profit form the sale of these two types of mulch can be modeled by the equation   dollars. To the nearest dollar, what is the maximum weekly profit from the sales of these two types of mulch?</strong> A) $2,635 B) $3,559 C) $1,734 D) $6,372 E) $10,524 <div style=padding-top: 35px> dollars. To the nearest dollar, what is the maximum weekly profit from the sales of these two types of mulch?

A) $2,635
B) $3,559
C) $1,734
D) $6,372
E) $10,524
Question
Test for relative maxima and minima. <strong>Test for relative maxima and minima.  </strong> A) relative minimum at   B) relative maximum at   C) relative minimum at   D) relative maximum at   E) relative minimum at   <div style=padding-top: 35px>

A) relative minimum at <strong>Test for relative maxima and minima.  </strong> A) relative minimum at   B) relative maximum at   C) relative minimum at   D) relative maximum at   E) relative minimum at   <div style=padding-top: 35px>
B) relative maximum at <strong>Test for relative maxima and minima.  </strong> A) relative minimum at   B) relative maximum at   C) relative minimum at   D) relative maximum at   E) relative minimum at   <div style=padding-top: 35px>
C) relative minimum at <strong>Test for relative maxima and minima.  </strong> A) relative minimum at   B) relative maximum at   C) relative minimum at   D) relative maximum at   E) relative minimum at   <div style=padding-top: 35px>
D) relative maximum at <strong>Test for relative maxima and minima.  </strong> A) relative minimum at   B) relative maximum at   C) relative minimum at   D) relative maximum at   E) relative minimum at   <div style=padding-top: 35px>
E) relative minimum at <strong>Test for relative maxima and minima.  </strong> A) relative minimum at   B) relative maximum at   C) relative minimum at   D) relative maximum at   E) relative minimum at   <div style=padding-top: 35px>
Question
A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a model for revenue as a multivariable function of the number of students in excess of 50 and the price per student.</strong> A)   dollars B)   dollars C)   dollars D)   dollars E)   dollars <div style=padding-top: 35px> . Write a model for revenue as a multivariable function of the number of students in excess of 50 and the price per student.

A) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a model for revenue as a multivariable function of the number of students in excess of 50 and the price per student.</strong> A)   dollars B)   dollars C)   dollars D)   dollars E)   dollars <div style=padding-top: 35px> dollars
B) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a model for revenue as a multivariable function of the number of students in excess of 50 and the price per student.</strong> A)   dollars B)   dollars C)   dollars D)   dollars E)   dollars <div style=padding-top: 35px> dollars
C) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a model for revenue as a multivariable function of the number of students in excess of 50 and the price per student.</strong> A)   dollars B)   dollars C)   dollars D)   dollars E)   dollars <div style=padding-top: 35px> dollars
D) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a model for revenue as a multivariable function of the number of students in excess of 50 and the price per student.</strong> A)   dollars B)   dollars C)   dollars D)   dollars E)   dollars <div style=padding-top: 35px> dollars
E) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a model for revenue as a multivariable function of the number of students in excess of 50 and the price per student.</strong> A)   dollars B)   dollars C)   dollars D)   dollars E)   dollars <div style=padding-top: 35px> dollars
Question
A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line <strong>A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line   , where x is the number of years since 1984.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> , where x is the number of years since 1984. <strong>A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line   , where x is the number of years since 1984.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line   , where x is the number of years since 1984.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line   , where x is the number of years since 1984.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line   , where x is the number of years since 1984.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line   , where x is the number of years since 1984.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line   , where x is the number of years since 1984.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
Write the Lagrange system of partial derivative equations. <strong>Write the Lagrange system of partial derivative equations.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>Write the Lagrange system of partial derivative equations.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>Write the Lagrange system of partial derivative equations.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>Write the Lagrange system of partial derivative equations.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>Write the Lagrange system of partial derivative equations.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>Write the Lagrange system of partial derivative equations.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
Locate the optimal point of the constrained system. <strong>Locate the optimal point of the constrained system.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>Locate the optimal point of the constrained system.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>Locate the optimal point of the constrained system.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>Locate the optimal point of the constrained system.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>Locate the optimal point of the constrained system.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>Locate the optimal point of the constrained system.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
The daily output at a plant manufacturing transistor radios is approximated by the function <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   <div style=padding-top: 35px> radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.

A) <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   <div style=padding-top: 35px> labor-hours <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   <div style=padding-top: 35px>
B) <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   <div style=padding-top: 35px> labor-hours <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   <div style=padding-top: 35px>
C) <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   <div style=padding-top: 35px> labor-hours <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   <div style=padding-top: 35px>
D) <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   <div style=padding-top: 35px> labor-hours <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   <div style=padding-top: 35px>
E) <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   <div style=padding-top: 35px> labor-hours <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   <div style=padding-top: 35px>
Question
Let <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> be the SSE function for the best fitting line <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> of the data below. A student calculated that the minimum of f occurs at <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> . Based on this calculation, what is the linear function that best fits the data? <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
Let <strong>Let   be the SSE function for the best fitting line   of the data below. Find the minimum value of   Round your answer to four decimal places.  </strong> A) 0.000 B) 0.0006 C) 0.0188 D) 0.8466 E) 0.6648 <div style=padding-top: 35px> be the SSE function for the best fitting line <strong>Let   be the SSE function for the best fitting line   of the data below. Find the minimum value of   Round your answer to four decimal places.  </strong> A) 0.000 B) 0.0006 C) 0.0188 D) 0.8466 E) 0.6648 <div style=padding-top: 35px> of the data below. Find the minimum value of <strong>Let   be the SSE function for the best fitting line   of the data below. Find the minimum value of   Round your answer to four decimal places.  </strong> A) 0.000 B) 0.0006 C) 0.0188 D) 0.8466 E) 0.6648 <div style=padding-top: 35px> Round your answer to four decimal places. <strong>Let   be the SSE function for the best fitting line   of the data below. Find the minimum value of   Round your answer to four decimal places.  </strong> A) 0.000 B) 0.0006 C) 0.0188 D) 0.8466 E) 0.6648 <div style=padding-top: 35px>

A) 0.000
B) 0.0006
C) 0.0188
D) 0.8466
E) 0.6648
Question
A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a constraint function in terms of the number of students in excess of 50 and the price.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> . Write a constraint function in terms of the number of students in excess of 50 and the price.

A) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a constraint function in terms of the number of students in excess of 50 and the price.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a constraint function in terms of the number of students in excess of 50 and the price.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a constraint function in terms of the number of students in excess of 50 and the price.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a constraint function in terms of the number of students in excess of 50 and the price.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a constraint function in terms of the number of students in excess of 50 and the price.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
Identify the optimal point as either a maximum point or a minimum point. <strong>Identify the optimal point as either a maximum point or a minimum point.  </strong> A) (0, 16, 16) constrained minimum (5)333, 10.667, 606.815) constrained maximum B) (0, 16, 0) constrained minimum (606.815, 5.333, 10.667) constrained maximum C) (16, 16, 0) constrained minimum (10)667, 606.815, 5.333) constrained maximum D) (0, 16, 0) constrained minimum (10)667, 5.333, 606.815) constrained maximum E) (0, 10, 0) constrained minimum (10)667, 606.815, 5.333) constrained maximum <div style=padding-top: 35px>

A) (0, 16, 16) constrained minimum
(5)333, 10.667, 606.815) constrained maximum
B) (0, 16, 0) constrained minimum
(606.815, 5.333, 10.667) constrained maximum
C) (16, 16, 0) constrained minimum
(10)667, 606.815, 5.333) constrained maximum
D) (0, 16, 0) constrained minimum
(10)667, 5.333, 606.815) constrained maximum
E) (0, 10, 0) constrained minimum
(10)667, 606.815, 5.333) constrained maximum
Question
The figures show a contour graph for a function f in blue with a constraint function <strong>The figures show a contour graph for a function f in blue with a constraint function   in black. Locate any optimal points of   and classify each as a relative maximum point or a relative minimum point.  </strong> A) (31, 10, 4) B) (32, 14, 2) C) (35, 16, 2) D) (32, 16, 2) E) (35, 18, 2) <div style=padding-top: 35px> in black. Locate any optimal points of <strong>The figures show a contour graph for a function f in blue with a constraint function   in black. Locate any optimal points of   and classify each as a relative maximum point or a relative minimum point.  </strong> A) (31, 10, 4) B) (32, 14, 2) C) (35, 16, 2) D) (32, 16, 2) E) (35, 18, 2) <div style=padding-top: 35px> and classify each as a relative maximum point or a relative minimum point. <strong>The figures show a contour graph for a function f in blue with a constraint function   in black. Locate any optimal points of   and classify each as a relative maximum point or a relative minimum point.  </strong> A) (31, 10, 4) B) (32, 14, 2) C) (35, 16, 2) D) (32, 16, 2) E) (35, 18, 2) <div style=padding-top: 35px>

A) (31, 10, 4)
B) (32, 14, 2)
C) (35, 16, 2)
D) (32, 16, 2)
E) (35, 18, 2)
Question
Express SSE as a multivariable function of a and b for the best fitting line <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> Use the data below. <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
A company has the Cobb-Douglas production function <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital <div style=padding-top: 35px> , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.

A) <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital <div style=padding-top: 35px> units of labor; <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital <div style=padding-top: 35px> units of capital
B) <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital <div style=padding-top: 35px> units of labor; <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital <div style=padding-top: 35px> units of capital
C) <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital <div style=padding-top: 35px> units of labor; <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital <div style=padding-top: 35px> units of capital
D) <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital <div style=padding-top: 35px> units of labor; <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital <div style=padding-top: 35px> units of capital
E) <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital <div style=padding-top: 35px> units of labor; <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital <div style=padding-top: 35px> units of capital
Question
For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> where x is the number of years since 1970. <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
A model for the elevation above sea level of a tract of farmland is <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. One critical point is   Use the Determinant Test to classify it as a maximum, minimum, or saddle point.</strong> A) relative maximum B) relative minimum C) saddle point D) cannot be determined <div style=padding-top: 35px> feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. One critical point is <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. One critical point is   Use the Determinant Test to classify it as a maximum, minimum, or saddle point.</strong> A) relative maximum B) relative minimum C) saddle point D) cannot be determined <div style=padding-top: 35px> Use the Determinant Test to classify it as a maximum, minimum, or saddle point.

A) relative maximum
B) relative minimum
C) saddle point
D) cannot be determined
Question
Express SSE as a multivariable function of a and b for the best fitting line <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> Use the data below. <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
A fitness center is trying to determine how to allocate funds for advertising. The manager decides to advertise on the radio and in the newspaper. Previous experience with such advertising leads the manager to expect <strong>A fitness center is trying to determine how to allocate funds for advertising. The manager decides to advertise on the radio and in the newspaper. Previous experience with such advertising leads the manager to expect   responses when r adds are run on the radio and n adds appear in the newspaper. Each ad on the radio costs $13 and each newspaper ad costs $3. Using Lagrange multipliers, a student found that when $504 are budgeted for advertising, the maximum number of responses occurred from 26 radio ad and 56 newspaper ads and had   Suppose the manager budgeted an additional $22 for advertising. What is the approximate change in the optimal value as a result of this change in the constraint level?</strong> A) 2,710 additional response B) 484 additional responses C) 22 additional responses D) 367 additional responses E) 1 additional response <div style=padding-top: 35px> responses when r adds are run on the radio and n adds appear in the newspaper. Each ad on the radio costs $13 and each newspaper ad costs $3. Using Lagrange multipliers, a student found that when $504 are budgeted for advertising, the maximum number of responses occurred from 26 radio ad and 56 newspaper ads and had <strong>A fitness center is trying to determine how to allocate funds for advertising. The manager decides to advertise on the radio and in the newspaper. Previous experience with such advertising leads the manager to expect   responses when r adds are run on the radio and n adds appear in the newspaper. Each ad on the radio costs $13 and each newspaper ad costs $3. Using Lagrange multipliers, a student found that when $504 are budgeted for advertising, the maximum number of responses occurred from 26 radio ad and 56 newspaper ads and had   Suppose the manager budgeted an additional $22 for advertising. What is the approximate change in the optimal value as a result of this change in the constraint level?</strong> A) 2,710 additional response B) 484 additional responses C) 22 additional responses D) 367 additional responses E) 1 additional response <div style=padding-top: 35px> Suppose the manager budgeted an additional $22 for advertising. What is the approximate change in the optimal value as a result of this change in the constraint level?

A) 2,710 additional response
B) 484 additional responses
C) 22 additional responses
D) 367 additional responses
E) 1 additional response
Question
A rancher removed 200 feet of wire fencing from a field on his ranch. He wants to reuse the fencing to create a rectangular corral into which he will build a 6-foot-wide wooden gate. The dimensions of the corral with the greatest possible area are found using the multivariable functions for the amount of fencing and for the resulting area of the corral: feet is the amount of fencing needed for the specified rectangular corral of width w feet and length l feet. The area of the specified corral is <strong>A rancher removed 200 feet of wire fencing from a field on his ranch. He wants to reuse the fencing to create a rectangular corral into which he will build a 6-foot-wide wooden gate. The dimensions of the corral with the greatest possible area are found using the multivariable functions for the amount of fencing and for the resulting area of the corral: feet is the amount of fencing needed for the specified rectangular corral of width w feet and length l feet. The area of the specified corral is   where w feet is the width and l feet is the length. Write the multivariable function to be maximized.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> where w feet is the width and l feet is the length. Write the multivariable function to be maximized.

A) <strong>A rancher removed 200 feet of wire fencing from a field on his ranch. He wants to reuse the fencing to create a rectangular corral into which he will build a 6-foot-wide wooden gate. The dimensions of the corral with the greatest possible area are found using the multivariable functions for the amount of fencing and for the resulting area of the corral: feet is the amount of fencing needed for the specified rectangular corral of width w feet and length l feet. The area of the specified corral is   where w feet is the width and l feet is the length. Write the multivariable function to be maximized.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>A rancher removed 200 feet of wire fencing from a field on his ranch. He wants to reuse the fencing to create a rectangular corral into which he will build a 6-foot-wide wooden gate. The dimensions of the corral with the greatest possible area are found using the multivariable functions for the amount of fencing and for the resulting area of the corral: feet is the amount of fencing needed for the specified rectangular corral of width w feet and length l feet. The area of the specified corral is   where w feet is the width and l feet is the length. Write the multivariable function to be maximized.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>A rancher removed 200 feet of wire fencing from a field on his ranch. He wants to reuse the fencing to create a rectangular corral into which he will build a 6-foot-wide wooden gate. The dimensions of the corral with the greatest possible area are found using the multivariable functions for the amount of fencing and for the resulting area of the corral: feet is the amount of fencing needed for the specified rectangular corral of width w feet and length l feet. The area of the specified corral is   where w feet is the width and l feet is the length. Write the multivariable function to be maximized.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>A rancher removed 200 feet of wire fencing from a field on his ranch. He wants to reuse the fencing to create a rectangular corral into which he will build a 6-foot-wide wooden gate. The dimensions of the corral with the greatest possible area are found using the multivariable functions for the amount of fencing and for the resulting area of the corral: feet is the amount of fencing needed for the specified rectangular corral of width w feet and length l feet. The area of the specified corral is   where w feet is the width and l feet is the length. Write the multivariable function to be maximized.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>A rancher removed 200 feet of wire fencing from a field on his ranch. He wants to reuse the fencing to create a rectangular corral into which he will build a 6-foot-wide wooden gate. The dimensions of the corral with the greatest possible area are found using the multivariable functions for the amount of fencing and for the resulting area of the corral: feet is the amount of fencing needed for the specified rectangular corral of width w feet and length l feet. The area of the specified corral is   where w feet is the width and l feet is the length. Write the multivariable function to be maximized.</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> is the constraint equation, and <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> for <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> Estimate the minimum cost if the constraint curve equation is <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
The figures show a contour graph for a function f in blue with a constraint function <strong>The figures show a contour graph for a function f in blue with a constraint function   in black. Estimate any optimal points for the system   Classify each constrained optimal point as a maximum or a minimum.  </strong> A) (28, 21, 4.5): constrained minimum B) (24, 20, 4.5): constrained minimum C) (25, 21, 4.5): constrained minimum D) (28, 20, 5.5): constrained maximum E) (25, 24,3.5): constrained maximum <div style=padding-top: 35px> in black. Estimate any optimal points for the system <strong>The figures show a contour graph for a function f in blue with a constraint function   in black. Estimate any optimal points for the system   Classify each constrained optimal point as a maximum or a minimum.  </strong> A) (28, 21, 4.5): constrained minimum B) (24, 20, 4.5): constrained minimum C) (25, 21, 4.5): constrained minimum D) (28, 20, 5.5): constrained maximum E) (25, 24,3.5): constrained maximum <div style=padding-top: 35px> Classify each constrained optimal point as a maximum or a minimum. <strong>The figures show a contour graph for a function f in blue with a constraint function   in black. Estimate any optimal points for the system   Classify each constrained optimal point as a maximum or a minimum.  </strong> A) (28, 21, 4.5): constrained minimum B) (24, 20, 4.5): constrained minimum C) (25, 21, 4.5): constrained minimum D) (28, 20, 5.5): constrained maximum E) (25, 24,3.5): constrained maximum <div style=padding-top: 35px>

A) (28, 21, 4.5): constrained minimum
B) (24, 20, 4.5): constrained minimum
C) (25, 21, 4.5): constrained minimum
D) (28, 20, 5.5): constrained maximum
E) (25, 24,3.5): constrained maximum
Question
Let <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px> be the SSE function for the best fitting line <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px> of the data below. Find <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px> and <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px> . <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px>

A) <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px> <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px>
B) <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px> <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px>
C) <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px> <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px>
D) <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px> <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px>
E) <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px> <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <div style=padding-top: 35px>
Question
The table shows the number of days that some food will keep as a function of the temperature. Use the method of least squares to find the best-fitting linear model for the data. Give your coefficients to two decimal places. <strong>The table shows the number of days that some food will keep as a function of the temperature. Use the method of least squares to find the best-fitting linear model for the data. Give your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>The table shows the number of days that some food will keep as a function of the temperature. Use the method of least squares to find the best-fitting linear model for the data. Give your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>The table shows the number of days that some food will keep as a function of the temperature. Use the method of least squares to find the best-fitting linear model for the data. Give your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>The table shows the number of days that some food will keep as a function of the temperature. Use the method of least squares to find the best-fitting linear model for the data. Give your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>The table shows the number of days that some food will keep as a function of the temperature. Use the method of least squares to find the best-fitting linear model for the data. Give your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>The table shows the number of days that some food will keep as a function of the temperature. Use the method of least squares to find the best-fitting linear model for the data. Give your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places. <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March. What is the minimum value of   Give your answer to two decimal places.  </strong> A) 0.00 B) 1.35 C) 42.18 D) 0.07 E) 0.15 <div style=padding-top: 35px> where x is 1 in January, 2 in February, and 3 in March. What is the minimum value of <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March. What is the minimum value of   Give your answer to two decimal places.  </strong> A) 0.00 B) 1.35 C) 42.18 D) 0.07 E) 0.15 <div style=padding-top: 35px> Give your answer to two decimal places. <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March. What is the minimum value of   Give your answer to two decimal places.  </strong> A) 0.00 B) 1.35 C) 42.18 D) 0.07 E) 0.15 <div style=padding-top: 35px>

A) 0.00
B) 1.35
C) 42.18
D) 0.07
E) 0.15
Question
Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form <strong>Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> and should not round the values until the final calculation. Give your coefficients to four decimal places. <strong>Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
For a region, the percentage of adults 20-24 years of age how have not been married is given in the table below. <strong>For a region, the percentage of adults 20-24 years of age how have not been married is given in the table below.   The percentage of adults 20-24 years old who had never been married in 1960 was 37. Add this data point and use technology to find a linear model. What is the percentage of adults 20-24 years old in 2000 who have never been married, according to this model? Round your answer to the nearest integer.</strong> A) 84% B) 85% C) 88% D) 82% E) 86% <div style=padding-top: 35px> The percentage of adults 20-24 years old who had never been married in 1960 was 37. Add this data point and use technology to find a linear model. What is the percentage of adults 20-24 years old in 2000 who have never been married, according to this model? Round your answer to the nearest integer.

A) 84%
B) 85%
C) 88%
D) 82%
E) 86%
Question
A factory makes 7-mm aluminum ball bearings. Company planners have determined how much it costs them to make certain numbers of cases of ball bearings in a single run. These costs are shown in the table below. The line of best fit for this data is <strong>A factory makes 7-mm aluminum ball bearings. Company planners have determined how much it costs them to make certain numbers of cases of ball bearings in a single run. These costs are shown in the table below. The line of best fit for this data is   Find the sum of the squares of the deviations. Give your answer to four decimal places.  </strong> A) 17.0012 B) 0.1452 C) 0.0100 D) 65.6179 E) 0.1000 <div style=padding-top: 35px> Find the sum of the squares of the deviations. Give your answer to four decimal places. <strong>A factory makes 7-mm aluminum ball bearings. Company planners have determined how much it costs them to make certain numbers of cases of ball bearings in a single run. These costs are shown in the table below. The line of best fit for this data is   Find the sum of the squares of the deviations. Give your answer to four decimal places.  </strong> A) 17.0012 B) 0.1452 C) 0.0100 D) 65.6179 E) 0.1000 <div style=padding-top: 35px>

A) 17.0012
B) 0.1452
C) 0.0100
D) 65.6179
E) 0.1000
Question
The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> where x is 1 in January, 2 in February, and 3 in March. <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form <strong>Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> and should not round the values until the final calculation. Give your coefficients to four decimal places. <strong>Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model   that best fits this data, where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> that best fits this data, where x is the number of years since 1970. <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model   that best fits this data, where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model   that best fits this data, where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model   that best fits this data, where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model   that best fits this data, where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model   that best fits this data, where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model   that best fits this data, where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let <strong>The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let   correspond to 1970. Round your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> correspond to 1970. Round your coefficients to two decimal places. <strong>The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let   correspond to 1970. Round your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let   correspond to 1970. Round your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let   correspond to 1970. Round your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let   correspond to 1970. Round your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let   correspond to 1970. Round your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let   correspond to 1970. Round your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
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Deck 8: Analyzing Multivariable Change: Optimization
1
Locate and classify any critical points. <strong>Locate and classify any critical points.  </strong> A) (0, 1, 62), relative minimum point (2, 0, 66), relative maximum point (0, 1, 61), is a saddle point, (1, 0, 64), saddle point B) (0, 0, 60), relative minimum point (2, 1, 68), relative maximum point (0, 1, 64), is a saddle point, (2, 0, 64), saddle point C) (1, 0, 60), relative minimum point (0, 1, 68), relative maximum point (0, 1, 64), is a saddle point, (1, 0, 64), saddle point D) (0, 1, 60), relative minimum point (1, 1, 64), relative maximum point (0, 1, 62), is a saddle point, (2, 0, 64), saddle point E) (1, 0, 60), relative minimum point (2, 1, 68), relative maximum point (0, 1, 61), is a saddle point, (0, 0, 64), saddle point

A) (0, 1, 62), relative minimum point
(2, 0, 66), relative maximum point
(0, 1, 61), is a saddle point,
(1, 0, 64), saddle point
B) (0, 0, 60), relative minimum point
(2, 1, 68), relative maximum point
(0, 1, 64), is a saddle point,
(2, 0, 64), saddle point
C) (1, 0, 60), relative minimum point
(0, 1, 68), relative maximum point
(0, 1, 64), is a saddle point,
(1, 0, 64), saddle point
D) (0, 1, 60), relative minimum point
(1, 1, 64), relative maximum point
(0, 1, 62), is a saddle point,
(2, 0, 64), saddle point
E) (1, 0, 60), relative minimum point
(2, 1, 68), relative maximum point
(0, 1, 61), is a saddle point,
(0, 0, 64), saddle point
(0, 0, 60), relative minimum point
(2, 1, 68), relative maximum point
(0, 1, 64), is a saddle point,
(2, 0, 64), saddle point
2
A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.</strong> A)   ml B)   ml C)   ml D)   ml E)   ml percent, where r is the amount of milliliters of water per gram of sunflower used for washing and <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.</strong> A)   ml B)   ml C)   ml D)   ml E)   ml is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.

A) <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.</strong> A)   ml B)   ml C)   ml D)   ml E)   ml ml
B) <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.</strong> A)   ml B)   ml C)   ml D)   ml E)   ml ml
C) <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.</strong> A)   ml B)   ml C)   ml D)   ml E)   ml ml
D) <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.</strong> A)   ml B)   ml C)   ml D)   ml E)   ml ml
E) <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Find the critical point of the pigment removal function. Round your answers to four decimal places.</strong> A)   ml B)   ml C)   ml D)   ml E)   ml ml
  ml ml
3
Locate and classify any critical points. <strong>Locate and classify any critical points.  </strong> A)   , saddle point B)   , saddle point C)   , saddle point D)   , saddle point E)   , saddle point

A) <strong>Locate and classify any critical points.  </strong> A)   , saddle point B)   , saddle point C)   , saddle point D)   , saddle point E)   , saddle point , saddle point
B) <strong>Locate and classify any critical points.  </strong> A)   , saddle point B)   , saddle point C)   , saddle point D)   , saddle point E)   , saddle point , saddle point
C) <strong>Locate and classify any critical points.  </strong> A)   , saddle point B)   , saddle point C)   , saddle point D)   , saddle point E)   , saddle point , saddle point
D) <strong>Locate and classify any critical points.  </strong> A)   , saddle point B)   , saddle point C)   , saddle point D)   , saddle point E)   , saddle point , saddle point
E) <strong>Locate and classify any critical points.  </strong> A)   , saddle point B)   , saddle point C)   , saddle point D)   , saddle point E)   , saddle point , saddle point
  , saddle point , saddle point
4
A model for the elevation above sea level of a tract of farmland is <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points   of E. Round your answers to three decimal places.</strong> A)   B)   C)   D)   E)   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points   of E. Round your answers to three decimal places.</strong> A)   B)   C)   D)   E)   of E. Round your answers to three decimal places.

A) <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points   of E. Round your answers to three decimal places.</strong> A)   B)   C)   D)   E)
B) <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points   of E. Round your answers to three decimal places.</strong> A)   B)   C)   D)   E)
C) <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points   of E. Round your answers to three decimal places.</strong> A)   B)   C)   D)   E)
D) <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points   of E. Round your answers to three decimal places.</strong> A)   B)   C)   D)   E)
E) <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. Find the two critical points   of E. Round your answers to three decimal places.</strong> A)   B)   C)   D)   E)
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5
A restaurant mixes ground beef that costs $b per pound with pork sausage that costs $p per pound to make a meat mixture that is used on the restaurant's signature pizza. The quarterly revenue, in thousands of dollars, from the sale of this pizza is given by the equation <strong>A restaurant mixes ground beef that costs $b per pound with pork sausage that costs $p per pound to make a meat mixture that is used on the restaurant's signature pizza. The quarterly revenue, in thousands of dollars, from the sale of this pizza is given by the equation   To the nearest thousand dollars, what is the maximum quarterly revenue from the sale of the restaurant's signature pizza?</strong> A) 55 thousand dollars B) 47 thousand dollars C) 8 thousand dollars D) 36 thousand dollars E) 28 thousand dollars To the nearest thousand dollars, what is the maximum quarterly revenue from the sale of the restaurant's signature pizza?

A) 55 thousand dollars
B) 47 thousand dollars
C) 8 thousand dollars
D) 36 thousand dollars
E) 28 thousand dollars
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6
Consider the contour and associated three-dimensional graph of <strong>Consider the contour and associated three-dimensional graph of   Is the point at which   and   a relative maximum point, a relative minimum point, or a saddle point?    </strong> A) saddle point B) relative maximum C) relative minimum Is the point at which <strong>Consider the contour and associated three-dimensional graph of   Is the point at which   and   a relative maximum point, a relative minimum point, or a saddle point?    </strong> A) saddle point B) relative maximum C) relative minimum and <strong>Consider the contour and associated three-dimensional graph of   Is the point at which   and   a relative maximum point, a relative minimum point, or a saddle point?    </strong> A) saddle point B) relative maximum C) relative minimum a relative maximum point, a relative minimum point, or a saddle point? <strong>Consider the contour and associated three-dimensional graph of   Is the point at which   and   a relative maximum point, a relative minimum point, or a saddle point?    </strong> A) saddle point B) relative maximum C) relative minimum <strong>Consider the contour and associated three-dimensional graph of   Is the point at which   and   a relative maximum point, a relative minimum point, or a saddle point?    </strong> A) saddle point B) relative maximum C) relative minimum

A) saddle point
B) relative maximum
C) relative minimum
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7
Milk proteins are sometimes added to sausage to reduce shrinking due to cooking loss and improve the texture of the sausage. Suppose the cooking loss (expressed as a percentage of initial weight) can be modeled by <strong>Milk proteins are sometimes added to sausage to reduce shrinking due to cooking loss and improve the texture of the sausage. Suppose the cooking loss (expressed as a percentage of initial weight) can be modeled by   percent, where w is the proportion of whey protein and s is the proportion of skim milk powder. Determine whether the function L has a relative maximum, relative minimum, or a saddle point, and find the corresponding proportions of whey protein and skim milk powder at that point. Round your answer to the nearest hundredth of a percent.</strong> A) relative maximum Whey protein: 5.62% Skim milk powder: 5.04% B) relative minimum Whey protein: 5.62% Skim milk powder: 5.04% C) relative maximum Whey protein: 19.83% Skim milk powder: 17.78% D) relative maximum Whey protein: 17.78% Skim milk powder: 19.83% E) saddle point Whey protein: 17.78% Skim milk powder: 19.83% percent, where w is the proportion of whey protein and s is the proportion of skim milk powder. Determine whether the function L has a relative maximum, relative minimum, or a saddle point, and find the corresponding proportions of whey protein and skim milk powder at that point. Round your answer to the nearest hundredth of a percent.

A) relative maximum
Whey protein: 5.62%
Skim milk powder: 5.04%
B) relative minimum
Whey protein: 5.62%
Skim milk powder: 5.04%
C) relative maximum
Whey protein: 19.83%
Skim milk powder: 17.78%
D) relative maximum
Whey protein: 17.78%
Skim milk powder: 19.83%
E) saddle point
Whey protein: 17.78%
Skim milk powder: 19.83%
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8
A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Is the critical point of P a maximum, minimum or saddle point?</strong> A) maximum B) minimum C) saddle point D) cannot be determined percent, where r is the amount of milliliters of water per gram of sunflower used for washing and <strong>A process to extract pigment from sunflower seeds involves washing the sunflower heads in heated water. Suppose the percentage of pigment that can be removed from the sunflower head by washing for 20 minutes is   percent, where r is the amount of milliliters of water per gram of sunflower used for washing and   is the water temperature. Is the critical point of P a maximum, minimum or saddle point?</strong> A) maximum B) minimum C) saddle point D) cannot be determined is the water temperature. Is the critical point of P a maximum, minimum or saddle point?

A) maximum
B) minimum
C) saddle point
D) cannot be determined
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9
Consider the following contour graph and three-dimensional graph for a function F with inputs x and y. On the basis of the graphs approximate the inputs and output of each critical point in the form <strong>Consider the following contour graph and three-dimensional graph for a function F with inputs x and y. On the basis of the graphs approximate the inputs and output of each critical point in the form      </strong> A) relative maximum: none Relative minimum: (1,1,-5) Saddle point: (0,0,0) B) relative maximum: none Relative minimum: (1,1,-1) Saddle point: (0,0,0) C) relative maximum: none Relative minimum: (1,1,-1) Saddle point: (0,0,-1) D) relative maximum: (1,1,-1) Relative minimum: (-3,-3,-75) Saddle point: (0,0,-1) E) relative maximum: (0,0,0) Relative minimum: (1,1,-1) Saddle point: none <strong>Consider the following contour graph and three-dimensional graph for a function F with inputs x and y. On the basis of the graphs approximate the inputs and output of each critical point in the form      </strong> A) relative maximum: none Relative minimum: (1,1,-5) Saddle point: (0,0,0) B) relative maximum: none Relative minimum: (1,1,-1) Saddle point: (0,0,0) C) relative maximum: none Relative minimum: (1,1,-1) Saddle point: (0,0,-1) D) relative maximum: (1,1,-1) Relative minimum: (-3,-3,-75) Saddle point: (0,0,-1) E) relative maximum: (0,0,0) Relative minimum: (1,1,-1) Saddle point: none <strong>Consider the following contour graph and three-dimensional graph for a function F with inputs x and y. On the basis of the graphs approximate the inputs and output of each critical point in the form      </strong> A) relative maximum: none Relative minimum: (1,1,-5) Saddle point: (0,0,0) B) relative maximum: none Relative minimum: (1,1,-1) Saddle point: (0,0,0) C) relative maximum: none Relative minimum: (1,1,-1) Saddle point: (0,0,-1) D) relative maximum: (1,1,-1) Relative minimum: (-3,-3,-75) Saddle point: (0,0,-1) E) relative maximum: (0,0,0) Relative minimum: (1,1,-1) Saddle point: none

A) relative maximum: none
Relative minimum: (1,1,-5)
Saddle point: (0,0,0)
B) relative maximum: none
Relative minimum: (1,1,-1)
Saddle point: (0,0,0)
C) relative maximum: none
Relative minimum: (1,1,-1)
Saddle point: (0,0,-1)
D) relative maximum: (1,1,-1)
Relative minimum: (-3,-3,-75)
Saddle point: (0,0,-1)
E) relative maximum: (0,0,0)
Relative minimum: (1,1,-1)
Saddle point: none
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10
Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:   grams, where the pH of the fat mixture is <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:   and the temperature is <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.

A) pH: 4.12
Temperature: <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:
B) pH: 6.22
Temperature: <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:
C) pH: 0.71
Temperature: <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:
D) pH: 6.34
Temperature: <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:
E) pH: 6.06
Temperature: <strong>Fatty acids are liberated from a fat mixture through a chemical process called hydrolysis. Suppose the number of fatty acids per 100 grams of water can be modeled by   grams, where the pH of the fat mixture is   and the temperature is   Find the pH and temperature that maximize the amount of fatty acid. Round your answers to two decimal place.</strong> A) pH: 4.12 Temperature:   B) pH: 6.22 Temperature:   C) pH: 0.71 Temperature:   D) pH: 6.34 Temperature:   E) pH: 6.06 Temperature:
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11
Is the point <strong>Is the point   and   on the contour graph below a relative maximum point, a relative minimum point, or a saddle point?  </strong> A) relative minimum B) relative maximum C) saddle point and <strong>Is the point   and   on the contour graph below a relative maximum point, a relative minimum point, or a saddle point?  </strong> A) relative minimum B) relative maximum C) saddle point on the contour graph below a relative maximum point, a relative minimum point, or a saddle point? <strong>Is the point   and   on the contour graph below a relative maximum point, a relative minimum point, or a saddle point?  </strong> A) relative minimum B) relative maximum C) saddle point

A) relative minimum
B) relative maximum
C) saddle point
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12
Locate and classify any critical points. <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point

A) <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point , saddle point <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point , relative minimum point
B) <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point , saddle point <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point , relative minimum point
C) <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point , saddle point <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point , relative minimum point
D) <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point , saddle point <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point , relative minimum point
E) <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point , saddle point <strong>Locate and classify any critical points.  </strong> A)   , saddle point   , relative minimum point B)   , saddle point   , relative minimum point C)   , saddle point   , relative minimum point D)   , saddle point   , relative minimum point E)   , saddle point   , relative maximum point , relative maximum point
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13
Suppose the table shows the average price of certain produce, in cents per pound, for selected months and years. Locate all critical points in the table and identify each point as a relative maximum point, relative minimum point, or a saddle point. <strong>Suppose the table shows the average price of certain produce, in cents per pound, for selected months and years. Locate all critical points in the table and identify each point as a relative maximum point, relative minimum point, or a saddle point.  </strong> A) relative maximum point(s): (May 1995); (May 1998) Relative minimum point(s): (May1996) Saddle point(s): (March 1996) B) relative maximum point(s) (May 1995) Relative minimum point(s): (April 1994) and (June 1994) Saddle point(s): (March 1996) C) relative maximum point(s): (May 1995); (May 1998); (March 1999) Relative minimum point(s): (February 1994); (April 1995); (June 1994); (May 1996); (February 1997); (June 1997) Saddle point(s): (March 1994); (May 1994); (February 1995); (June 1995); (March 1996); (June 1998) D) relative maximum point(s): (May 1995) Relative minimum point(s): (April 1994) and (June 1994) Saddle point(s): (March 1994); (May 1994); (February 1995); (June 1995); (March 1996); (June 1998) E) none of these

A) relative maximum point(s): (May 1995); (May 1998)
Relative minimum point(s): (May1996)
Saddle point(s): (March 1996)
B) relative maximum point(s) (May 1995)
Relative minimum point(s): (April 1994) and (June 1994)
Saddle point(s): (March 1996)
C) relative maximum point(s): (May 1995); (May 1998); (March 1999)
Relative minimum point(s): (February 1994); (April 1995); (June 1994); (May 1996); (February 1997); (June 1997)
Saddle point(s): (March 1994); (May 1994); (February 1995); (June 1995); (March 1996); (June 1998)
D) relative maximum point(s): (May 1995)
Relative minimum point(s): (April 1994) and (June 1994)
Saddle point(s): (March 1994); (May 1994); (February 1995); (June 1995); (March 1996); (June 1998)
E) none of these
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14
The consistometer table gives the consistency of applesauce as a function of the number of months the raw apples were stored and the temperature at which they were blanched. The consistometer value is a measure of how far (in centimeters) an amount of applesauce flows down a vertical surface in 30 seconds. Sketch the contour curves on the table for the consistometer values of 2.8 and 3.2. <strong>The consistometer table gives the consistency of applesauce as a function of the number of months the raw apples were stored and the temperature at which they were blanched. The consistometer value is a measure of how far (in centimeters) an amount of applesauce flows down a vertical surface in 30 seconds. Sketch the contour curves on the table for the consistometer values of 2.8 and 3.2.  </strong> A)   B)   C)   D)   E)

A) <strong>The consistometer table gives the consistency of applesauce as a function of the number of months the raw apples were stored and the temperature at which they were blanched. The consistometer value is a measure of how far (in centimeters) an amount of applesauce flows down a vertical surface in 30 seconds. Sketch the contour curves on the table for the consistometer values of 2.8 and 3.2.  </strong> A)   B)   C)   D)   E)
B) <strong>The consistometer table gives the consistency of applesauce as a function of the number of months the raw apples were stored and the temperature at which they were blanched. The consistometer value is a measure of how far (in centimeters) an amount of applesauce flows down a vertical surface in 30 seconds. Sketch the contour curves on the table for the consistometer values of 2.8 and 3.2.  </strong> A)   B)   C)   D)   E)
C) <strong>The consistometer table gives the consistency of applesauce as a function of the number of months the raw apples were stored and the temperature at which they were blanched. The consistometer value is a measure of how far (in centimeters) an amount of applesauce flows down a vertical surface in 30 seconds. Sketch the contour curves on the table for the consistometer values of 2.8 and 3.2.  </strong> A)   B)   C)   D)   E)
D) <strong>The consistometer table gives the consistency of applesauce as a function of the number of months the raw apples were stored and the temperature at which they were blanched. The consistometer value is a measure of how far (in centimeters) an amount of applesauce flows down a vertical surface in 30 seconds. Sketch the contour curves on the table for the consistometer values of 2.8 and 3.2.  </strong> A)   B)   C)   D)   E)
E) <strong>The consistometer table gives the consistency of applesauce as a function of the number of months the raw apples were stored and the temperature at which they were blanched. The consistometer value is a measure of how far (in centimeters) an amount of applesauce flows down a vertical surface in 30 seconds. Sketch the contour curves on the table for the consistometer values of 2.8 and 3.2.  </strong> A)   B)   C)   D)   E)
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15
Suppose that <strong>Suppose that   is the production function for a product with x units of one input and y units of a second input. Find the values of x and y that will maximize production.</strong> A)   B)   C)   D)   E)   is the production function for a product with x units of one input and y units of a second input. Find the values of x and y that will maximize production.

A) <strong>Suppose that   is the production function for a product with x units of one input and y units of a second input. Find the values of x and y that will maximize production.</strong> A)   B)   C)   D)   E)
B) <strong>Suppose that   is the production function for a product with x units of one input and y units of a second input. Find the values of x and y that will maximize production.</strong> A)   B)   C)   D)   E)
C) <strong>Suppose that   is the production function for a product with x units of one input and y units of a second input. Find the values of x and y that will maximize production.</strong> A)   B)   C)   D)   E)
D) <strong>Suppose that   is the production function for a product with x units of one input and y units of a second input. Find the values of x and y that will maximize production.</strong> A)   B)   C)   D)   E)
E) <strong>Suppose that   is the production function for a product with x units of one input and y units of a second input. Find the values of x and y that will maximize production.</strong> A)   B)   C)   D)   E)
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16
Consider the contour graph and the three-dimensional graph for the function R, given below. What critical point is represented by the point A on the contour map? <strong>Consider the contour graph and the three-dimensional graph for the function R, given below. What critical point is represented by the point A on the contour map?    </strong> A) relative maximum B) saddle point C) global maximum D) relative minimum E) not a critical point <strong>Consider the contour graph and the three-dimensional graph for the function R, given below. What critical point is represented by the point A on the contour map?    </strong> A) relative maximum B) saddle point C) global maximum D) relative minimum E) not a critical point

A) relative maximum
B) saddle point
C) global maximum
D) relative minimum
E) not a critical point
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17
Test for relative maxima and minima. <strong>Test for relative maxima and minima.  </strong> A) saddle point at   B) saddle point at   C) saddle point at   D) relative minimum at   E) relative minimum at

A) saddle point at <strong>Test for relative maxima and minima.  </strong> A) saddle point at   B) saddle point at   C) saddle point at   D) relative minimum at   E) relative minimum at
B) saddle point at <strong>Test for relative maxima and minima.  </strong> A) saddle point at   B) saddle point at   C) saddle point at   D) relative minimum at   E) relative minimum at
C) saddle point at <strong>Test for relative maxima and minima.  </strong> A) saddle point at   B) saddle point at   C) saddle point at   D) relative minimum at   E) relative minimum at
D) relative minimum at <strong>Test for relative maxima and minima.  </strong> A) saddle point at   B) saddle point at   C) saddle point at   D) relative minimum at   E) relative minimum at
E) relative minimum at <strong>Test for relative maxima and minima.  </strong> A) saddle point at   B) saddle point at   C) saddle point at   D) relative minimum at   E) relative minimum at
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18
Suppose table shows the average price of bananas, in cents per pound, for selected months and years. Locate all relative maximum points, minimum points, and saddle points. <strong>Suppose table shows the average price of bananas, in cents per pound, for selected months and years. Locate all relative maximum points, minimum points, and saddle points.  </strong> A) none of these B) relative maximum point(s): (July 1998); (June 1999); (August 1999) Relative minimum points(s): (July 1994); (September 1994); (May 1997) Saddle point(s): (June 1997); (August 1997) C) relative maximum point(s): (August, 1995); (June 1996) Relative minimum points(s): (July 1997); (May 1999); (July 1999); (September 1999) Saddle point(s): (May 1998); (September 1998) D) relative maximum point(s): (June 1996) Relative minimum points(s): (July 1997) Saddle point(s): (June 1997); (August 1997) E) relative maximum point(s): (August, 1995); (June 1996); (July 1998) Relative minimum points(s): (July 1997) Saddle point(s): (June 1997); (August 1997)

A) none of these
B) relative maximum point(s): (July 1998); (June 1999); (August 1999)
Relative minimum points(s): (July 1994); (September 1994); (May 1997)
Saddle point(s): (June 1997); (August 1997)
C) relative maximum point(s): (August, 1995); (June 1996)
Relative minimum points(s): (July 1997); (May 1999); (July 1999); (September 1999)
Saddle point(s): (May 1998); (September 1998)
D) relative maximum point(s): (June 1996)
Relative minimum points(s): (July 1997)
Saddle point(s): (June 1997); (August 1997)
E) relative maximum point(s): (August, 1995); (June 1996); (July 1998)
Relative minimum points(s): (July 1997)
Saddle point(s): (June 1997); (August 1997)
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19
A nursery sells mulch by the truckload. Bark mulch sells for $b per load and pine straw sells for $p per load. The nursery's average weekly profit form the sale of these two types of mulch can be modeled by the equation <strong>A nursery sells mulch by the truckload. Bark mulch sells for $b per load and pine straw sells for $p per load. The nursery's average weekly profit form the sale of these two types of mulch can be modeled by the equation   dollars. To the nearest dollar, what is the maximum weekly profit from the sales of these two types of mulch?</strong> A) $2,635 B) $3,559 C) $1,734 D) $6,372 E) $10,524 dollars. To the nearest dollar, what is the maximum weekly profit from the sales of these two types of mulch?

A) $2,635
B) $3,559
C) $1,734
D) $6,372
E) $10,524
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20
Test for relative maxima and minima. <strong>Test for relative maxima and minima.  </strong> A) relative minimum at   B) relative maximum at   C) relative minimum at   D) relative maximum at   E) relative minimum at

A) relative minimum at <strong>Test for relative maxima and minima.  </strong> A) relative minimum at   B) relative maximum at   C) relative minimum at   D) relative maximum at   E) relative minimum at
B) relative maximum at <strong>Test for relative maxima and minima.  </strong> A) relative minimum at   B) relative maximum at   C) relative minimum at   D) relative maximum at   E) relative minimum at
C) relative minimum at <strong>Test for relative maxima and minima.  </strong> A) relative minimum at   B) relative maximum at   C) relative minimum at   D) relative maximum at   E) relative minimum at
D) relative maximum at <strong>Test for relative maxima and minima.  </strong> A) relative minimum at   B) relative maximum at   C) relative minimum at   D) relative maximum at   E) relative minimum at
E) relative minimum at <strong>Test for relative maxima and minima.  </strong> A) relative minimum at   B) relative maximum at   C) relative minimum at   D) relative maximum at   E) relative minimum at
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21
A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a model for revenue as a multivariable function of the number of students in excess of 50 and the price per student.</strong> A)   dollars B)   dollars C)   dollars D)   dollars E)   dollars . Write a model for revenue as a multivariable function of the number of students in excess of 50 and the price per student.

A) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a model for revenue as a multivariable function of the number of students in excess of 50 and the price per student.</strong> A)   dollars B)   dollars C)   dollars D)   dollars E)   dollars dollars
B) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a model for revenue as a multivariable function of the number of students in excess of 50 and the price per student.</strong> A)   dollars B)   dollars C)   dollars D)   dollars E)   dollars dollars
C) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a model for revenue as a multivariable function of the number of students in excess of 50 and the price per student.</strong> A)   dollars B)   dollars C)   dollars D)   dollars E)   dollars dollars
D) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a model for revenue as a multivariable function of the number of students in excess of 50 and the price per student.</strong> A)   dollars B)   dollars C)   dollars D)   dollars E)   dollars dollars
E) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a model for revenue as a multivariable function of the number of students in excess of 50 and the price per student.</strong> A)   dollars B)   dollars C)   dollars D)   dollars E)   dollars dollars
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22
A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line <strong>A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line   , where x is the number of years since 1984.  </strong> A)   B)   C)   D)   E)   , where x is the number of years since 1984. <strong>A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line   , where x is the number of years since 1984.  </strong> A)   B)   C)   D)   E)

A) <strong>A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line   , where x is the number of years since 1984.  </strong> A)   B)   C)   D)   E)
B) <strong>A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line   , where x is the number of years since 1984.  </strong> A)   B)   C)   D)   E)
C) <strong>A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line   , where x is the number of years since 1984.  </strong> A)   B)   C)   D)   E)
D) <strong>A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line   , where x is the number of years since 1984.  </strong> A)   B)   C)   D)   E)
E) <strong>A small percent of homes in an region lack certain amenities. The data is given in the table below. Give the linear model of the best fitting line   , where x is the number of years since 1984.  </strong> A)   B)   C)   D)   E)
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23
Write the Lagrange system of partial derivative equations. <strong>Write the Lagrange system of partial derivative equations.  </strong> A)   B)   C)   D)   E)

A) <strong>Write the Lagrange system of partial derivative equations.  </strong> A)   B)   C)   D)   E)
B) <strong>Write the Lagrange system of partial derivative equations.  </strong> A)   B)   C)   D)   E)
C) <strong>Write the Lagrange system of partial derivative equations.  </strong> A)   B)   C)   D)   E)
D) <strong>Write the Lagrange system of partial derivative equations.  </strong> A)   B)   C)   D)   E)
E) <strong>Write the Lagrange system of partial derivative equations.  </strong> A)   B)   C)   D)   E)
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Locate the optimal point of the constrained system. <strong>Locate the optimal point of the constrained system.  </strong> A)   B)   C)   D)   E)

A) <strong>Locate the optimal point of the constrained system.  </strong> A)   B)   C)   D)   E)
B) <strong>Locate the optimal point of the constrained system.  </strong> A)   B)   C)   D)   E)
C) <strong>Locate the optimal point of the constrained system.  </strong> A)   B)   C)   D)   E)
D) <strong>Locate the optimal point of the constrained system.  </strong> A)   B)   C)   D)   E)
E) <strong>Locate the optimal point of the constrained system.  </strong> A)   B)   C)   D)   E)
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25
The daily output at a plant manufacturing transistor radios is approximated by the function <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.

A) <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   labor-hours <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours
B) <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   labor-hours <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours
C) <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   labor-hours <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours
D) <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   labor-hours <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours
E) <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours   labor-hours <strong>The daily output at a plant manufacturing transistor radios is approximated by the function   radios, where L is the size of the labor force measured in hundreds of worker hours and K is the capital investment in thousands of dollars. Suppose the plant manager has a daily budget of $18,000 to be invested in capital or spent on labor and that the average wage of an employee at the radio plant is $7.00 per hour. What combination of worker hours and capital expenditures will yield the maximum daily production? Round your answers to the nearest integer.</strong> A)   labor-hours   B)   labor-hours   C)   labor-hours   D)   labor-hours   E)   labor-hours
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Let <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)   be the SSE function for the best fitting line <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)   of the data below. A student calculated that the minimum of f occurs at <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)   . Based on this calculation, what is the linear function that best fits the data? <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)

A) <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)
B) <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)
C) <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)
D) <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)
E) <strong>Let   be the SSE function for the best fitting line   of the data below. A student calculated that the minimum of f occurs at   . Based on this calculation, what is the linear function that best fits the data?  </strong> A)   B)   C)   D)   E)
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Let <strong>Let   be the SSE function for the best fitting line   of the data below. Find the minimum value of   Round your answer to four decimal places.  </strong> A) 0.000 B) 0.0006 C) 0.0188 D) 0.8466 E) 0.6648 be the SSE function for the best fitting line <strong>Let   be the SSE function for the best fitting line   of the data below. Find the minimum value of   Round your answer to four decimal places.  </strong> A) 0.000 B) 0.0006 C) 0.0188 D) 0.8466 E) 0.6648 of the data below. Find the minimum value of <strong>Let   be the SSE function for the best fitting line   of the data below. Find the minimum value of   Round your answer to four decimal places.  </strong> A) 0.000 B) 0.0006 C) 0.0188 D) 0.8466 E) 0.6648 Round your answer to four decimal places. <strong>Let   be the SSE function for the best fitting line   of the data below. Find the minimum value of   Round your answer to four decimal places.  </strong> A) 0.000 B) 0.0006 C) 0.0188 D) 0.8466 E) 0.6648

A) 0.000
B) 0.0006
C) 0.0188
D) 0.8466
E) 0.6648
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28
A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a constraint function in terms of the number of students in excess of 50 and the price.</strong> A)   B)   C)   D)   E)   . Write a constraint function in terms of the number of students in excess of 50 and the price.

A) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a constraint function in terms of the number of students in excess of 50 and the price.</strong> A)   B)   C)   D)   E)
B) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a constraint function in terms of the number of students in excess of 50 and the price.</strong> A)   B)   C)   D)   E)
C) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a constraint function in terms of the number of students in excess of 50 and the price.</strong> A)   B)   C)   D)   E)
D) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a constraint function in terms of the number of students in excess of 50 and the price.</strong> A)   B)   C)   D)   E)
E) <strong>A travel agency offers spring-break cruise packages. The agency advertises a cruise to Cancun, Mexico, for $1200 per person. In order to promote the cruise among student organizations on campus, the agency offers a discount for student groups selling the cruise to over 50 of their members. The price per student will be discounted by $10 for each student in excess of 50. For example, if an organization had 55 members go on the cruise, each of those 55 students would pay   . Write a constraint function in terms of the number of students in excess of 50 and the price.</strong> A)   B)   C)   D)   E)
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Identify the optimal point as either a maximum point or a minimum point. <strong>Identify the optimal point as either a maximum point or a minimum point.  </strong> A) (0, 16, 16) constrained minimum (5)333, 10.667, 606.815) constrained maximum B) (0, 16, 0) constrained minimum (606.815, 5.333, 10.667) constrained maximum C) (16, 16, 0) constrained minimum (10)667, 606.815, 5.333) constrained maximum D) (0, 16, 0) constrained minimum (10)667, 5.333, 606.815) constrained maximum E) (0, 10, 0) constrained minimum (10)667, 606.815, 5.333) constrained maximum

A) (0, 16, 16) constrained minimum
(5)333, 10.667, 606.815) constrained maximum
B) (0, 16, 0) constrained minimum
(606.815, 5.333, 10.667) constrained maximum
C) (16, 16, 0) constrained minimum
(10)667, 606.815, 5.333) constrained maximum
D) (0, 16, 0) constrained minimum
(10)667, 5.333, 606.815) constrained maximum
E) (0, 10, 0) constrained minimum
(10)667, 606.815, 5.333) constrained maximum
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The figures show a contour graph for a function f in blue with a constraint function <strong>The figures show a contour graph for a function f in blue with a constraint function   in black. Locate any optimal points of   and classify each as a relative maximum point or a relative minimum point.  </strong> A) (31, 10, 4) B) (32, 14, 2) C) (35, 16, 2) D) (32, 16, 2) E) (35, 18, 2) in black. Locate any optimal points of <strong>The figures show a contour graph for a function f in blue with a constraint function   in black. Locate any optimal points of   and classify each as a relative maximum point or a relative minimum point.  </strong> A) (31, 10, 4) B) (32, 14, 2) C) (35, 16, 2) D) (32, 16, 2) E) (35, 18, 2) and classify each as a relative maximum point or a relative minimum point. <strong>The figures show a contour graph for a function f in blue with a constraint function   in black. Locate any optimal points of   and classify each as a relative maximum point or a relative minimum point.  </strong> A) (31, 10, 4) B) (32, 14, 2) C) (35, 16, 2) D) (32, 16, 2) E) (35, 18, 2)

A) (31, 10, 4)
B) (32, 14, 2)
C) (35, 16, 2)
D) (32, 16, 2)
E) (35, 18, 2)
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Express SSE as a multivariable function of a and b for the best fitting line <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   Use the data below. <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)

A) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)
B) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)
C) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)
D) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)
E) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)
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A company has the Cobb-Douglas production function <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.

A) <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital units of labor; <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital units of capital
B) <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital units of labor; <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital units of capital
C) <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital units of labor; <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital units of capital
D) <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital units of labor; <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital units of capital
E) <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital units of labor; <strong>A company has the Cobb-Douglas production function   , where x is the number of units of labor, y is the number of units of capital, and z is the units of production. Suppose labor costs $200 per unit, capital costs $200 per unit, and the total cost of labor and capital is limited to $400000. Find the number of units of labor and the number of units of capital that maximize production.</strong> A)   units of labor;   units of capital B)   units of labor;   units of capital C)   units of labor;   units of capital D)   units of labor;   units of capital E)   units of labor;   units of capital units of capital
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For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   where x is the number of years since 1970. <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)

A) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)
B) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)
C) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)
D) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)
E) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)
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A model for the elevation above sea level of a tract of farmland is <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. One critical point is   Use the Determinant Test to classify it as a maximum, minimum, or saddle point.</strong> A) relative maximum B) relative minimum C) saddle point D) cannot be determined feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. One critical point is <strong>A model for the elevation above sea level of a tract of farmland is   feet above sea level, where e is the distance in miles east of the western fence and n is the distance in miles north of the southern fence. One critical point is   Use the Determinant Test to classify it as a maximum, minimum, or saddle point.</strong> A) relative maximum B) relative minimum C) saddle point D) cannot be determined Use the Determinant Test to classify it as a maximum, minimum, or saddle point.

A) relative maximum
B) relative minimum
C) saddle point
D) cannot be determined
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Express SSE as a multivariable function of a and b for the best fitting line <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)   Use the data below. <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)

A) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)
B) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)
C) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)
D) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)
E) <strong>Express SSE as a multivariable function of a and b for the best fitting line   Use the data below.  </strong> A)   B)   C)   D)   E)
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A fitness center is trying to determine how to allocate funds for advertising. The manager decides to advertise on the radio and in the newspaper. Previous experience with such advertising leads the manager to expect <strong>A fitness center is trying to determine how to allocate funds for advertising. The manager decides to advertise on the radio and in the newspaper. Previous experience with such advertising leads the manager to expect   responses when r adds are run on the radio and n adds appear in the newspaper. Each ad on the radio costs $13 and each newspaper ad costs $3. Using Lagrange multipliers, a student found that when $504 are budgeted for advertising, the maximum number of responses occurred from 26 radio ad and 56 newspaper ads and had   Suppose the manager budgeted an additional $22 for advertising. What is the approximate change in the optimal value as a result of this change in the constraint level?</strong> A) 2,710 additional response B) 484 additional responses C) 22 additional responses D) 367 additional responses E) 1 additional response responses when r adds are run on the radio and n adds appear in the newspaper. Each ad on the radio costs $13 and each newspaper ad costs $3. Using Lagrange multipliers, a student found that when $504 are budgeted for advertising, the maximum number of responses occurred from 26 radio ad and 56 newspaper ads and had <strong>A fitness center is trying to determine how to allocate funds for advertising. The manager decides to advertise on the radio and in the newspaper. Previous experience with such advertising leads the manager to expect   responses when r adds are run on the radio and n adds appear in the newspaper. Each ad on the radio costs $13 and each newspaper ad costs $3. Using Lagrange multipliers, a student found that when $504 are budgeted for advertising, the maximum number of responses occurred from 26 radio ad and 56 newspaper ads and had   Suppose the manager budgeted an additional $22 for advertising. What is the approximate change in the optimal value as a result of this change in the constraint level?</strong> A) 2,710 additional response B) 484 additional responses C) 22 additional responses D) 367 additional responses E) 1 additional response Suppose the manager budgeted an additional $22 for advertising. What is the approximate change in the optimal value as a result of this change in the constraint level?

A) 2,710 additional response
B) 484 additional responses
C) 22 additional responses
D) 367 additional responses
E) 1 additional response
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A rancher removed 200 feet of wire fencing from a field on his ranch. He wants to reuse the fencing to create a rectangular corral into which he will build a 6-foot-wide wooden gate. The dimensions of the corral with the greatest possible area are found using the multivariable functions for the amount of fencing and for the resulting area of the corral: feet is the amount of fencing needed for the specified rectangular corral of width w feet and length l feet. The area of the specified corral is <strong>A rancher removed 200 feet of wire fencing from a field on his ranch. He wants to reuse the fencing to create a rectangular corral into which he will build a 6-foot-wide wooden gate. The dimensions of the corral with the greatest possible area are found using the multivariable functions for the amount of fencing and for the resulting area of the corral: feet is the amount of fencing needed for the specified rectangular corral of width w feet and length l feet. The area of the specified corral is   where w feet is the width and l feet is the length. Write the multivariable function to be maximized.</strong> A)   B)   C)   D)   E)   where w feet is the width and l feet is the length. Write the multivariable function to be maximized.

A) <strong>A rancher removed 200 feet of wire fencing from a field on his ranch. He wants to reuse the fencing to create a rectangular corral into which he will build a 6-foot-wide wooden gate. The dimensions of the corral with the greatest possible area are found using the multivariable functions for the amount of fencing and for the resulting area of the corral: feet is the amount of fencing needed for the specified rectangular corral of width w feet and length l feet. The area of the specified corral is   where w feet is the width and l feet is the length. Write the multivariable function to be maximized.</strong> A)   B)   C)   D)   E)
B) <strong>A rancher removed 200 feet of wire fencing from a field on his ranch. He wants to reuse the fencing to create a rectangular corral into which he will build a 6-foot-wide wooden gate. The dimensions of the corral with the greatest possible area are found using the multivariable functions for the amount of fencing and for the resulting area of the corral: feet is the amount of fencing needed for the specified rectangular corral of width w feet and length l feet. The area of the specified corral is   where w feet is the width and l feet is the length. Write the multivariable function to be maximized.</strong> A)   B)   C)   D)   E)
C) <strong>A rancher removed 200 feet of wire fencing from a field on his ranch. He wants to reuse the fencing to create a rectangular corral into which he will build a 6-foot-wide wooden gate. The dimensions of the corral with the greatest possible area are found using the multivariable functions for the amount of fencing and for the resulting area of the corral: feet is the amount of fencing needed for the specified rectangular corral of width w feet and length l feet. The area of the specified corral is   where w feet is the width and l feet is the length. Write the multivariable function to be maximized.</strong> A)   B)   C)   D)   E)
D) <strong>A rancher removed 200 feet of wire fencing from a field on his ranch. He wants to reuse the fencing to create a rectangular corral into which he will build a 6-foot-wide wooden gate. The dimensions of the corral with the greatest possible area are found using the multivariable functions for the amount of fencing and for the resulting area of the corral: feet is the amount of fencing needed for the specified rectangular corral of width w feet and length l feet. The area of the specified corral is   where w feet is the width and l feet is the length. Write the multivariable function to be maximized.</strong> A)   B)   C)   D)   E)
E) <strong>A rancher removed 200 feet of wire fencing from a field on his ranch. He wants to reuse the fencing to create a rectangular corral into which he will build a 6-foot-wide wooden gate. The dimensions of the corral with the greatest possible area are found using the multivariable functions for the amount of fencing and for the resulting area of the corral: feet is the amount of fencing needed for the specified rectangular corral of width w feet and length l feet. The area of the specified corral is   where w feet is the width and l feet is the length. Write the multivariable function to be maximized.</strong> A)   B)   C)   D)   E)
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38
A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)   is the constraint equation, and <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)   for <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)   Estimate the minimum cost if the constraint curve equation is <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)

A) <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)
B) <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)
C) <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)
D) <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)
E) <strong>A manufacture is designing a packaging carton for shipping. The carton will be a box with a fixed volume of v cubic feet. The cost to construct each box is   dollars, where the box is l feet long and w feet wide. Suppose M is the minimum cost and   is the constraint equation, and   for   Estimate the minimum cost if the constraint curve equation is  </strong> A)   B)   C)   D)   E)
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39
The figures show a contour graph for a function f in blue with a constraint function <strong>The figures show a contour graph for a function f in blue with a constraint function   in black. Estimate any optimal points for the system   Classify each constrained optimal point as a maximum or a minimum.  </strong> A) (28, 21, 4.5): constrained minimum B) (24, 20, 4.5): constrained minimum C) (25, 21, 4.5): constrained minimum D) (28, 20, 5.5): constrained maximum E) (25, 24,3.5): constrained maximum in black. Estimate any optimal points for the system <strong>The figures show a contour graph for a function f in blue with a constraint function   in black. Estimate any optimal points for the system   Classify each constrained optimal point as a maximum or a minimum.  </strong> A) (28, 21, 4.5): constrained minimum B) (24, 20, 4.5): constrained minimum C) (25, 21, 4.5): constrained minimum D) (28, 20, 5.5): constrained maximum E) (25, 24,3.5): constrained maximum Classify each constrained optimal point as a maximum or a minimum. <strong>The figures show a contour graph for a function f in blue with a constraint function   in black. Estimate any optimal points for the system   Classify each constrained optimal point as a maximum or a minimum.  </strong> A) (28, 21, 4.5): constrained minimum B) (24, 20, 4.5): constrained minimum C) (25, 21, 4.5): constrained minimum D) (28, 20, 5.5): constrained maximum E) (25, 24,3.5): constrained maximum

A) (28, 21, 4.5): constrained minimum
B) (24, 20, 4.5): constrained minimum
C) (25, 21, 4.5): constrained minimum
D) (28, 20, 5.5): constrained maximum
E) (25, 24,3.5): constrained maximum
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40
Let <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     be the SSE function for the best fitting line <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     of the data below. Find <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     and <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     . <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)

A) <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)
B) <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)
C) <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)
D) <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)
E) <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)     <strong>Let   be the SSE function for the best fitting line   of the data below. Find   and   .  </strong> A)     B)     C)     D)     E)
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41
The table shows the number of days that some food will keep as a function of the temperature. Use the method of least squares to find the best-fitting linear model for the data. Give your coefficients to two decimal places. <strong>The table shows the number of days that some food will keep as a function of the temperature. Use the method of least squares to find the best-fitting linear model for the data. Give your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)

A) <strong>The table shows the number of days that some food will keep as a function of the temperature. Use the method of least squares to find the best-fitting linear model for the data. Give your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
B) <strong>The table shows the number of days that some food will keep as a function of the temperature. Use the method of least squares to find the best-fitting linear model for the data. Give your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
C) <strong>The table shows the number of days that some food will keep as a function of the temperature. Use the method of least squares to find the best-fitting linear model for the data. Give your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
D) <strong>The table shows the number of days that some food will keep as a function of the temperature. Use the method of least squares to find the best-fitting linear model for the data. Give your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
E) <strong>The table shows the number of days that some food will keep as a function of the temperature. Use the method of least squares to find the best-fitting linear model for the data. Give your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
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42
The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places. <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)

A) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
B) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
C) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
D) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
E) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Give the linear model   that best fits the data, where x is 1 in January, 2 in February, and 3 in March. Give the coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
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43
The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March. What is the minimum value of   Give your answer to two decimal places.  </strong> A) 0.00 B) 1.35 C) 42.18 D) 0.07 E) 0.15 where x is 1 in January, 2 in February, and 3 in March. What is the minimum value of <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March. What is the minimum value of   Give your answer to two decimal places.  </strong> A) 0.00 B) 1.35 C) 42.18 D) 0.07 E) 0.15 Give your answer to two decimal places. <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March. What is the minimum value of   Give your answer to two decimal places.  </strong> A) 0.00 B) 1.35 C) 42.18 D) 0.07 E) 0.15

A) 0.00
B) 1.35
C) 42.18
D) 0.07
E) 0.15
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44
Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form <strong>Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   and should not round the values until the final calculation. Give your coefficients to four decimal places. <strong>Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)

A) <strong>Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)
B) <strong>Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)
C) <strong>Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)
D) <strong>Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)
E) <strong>Consider the table showing the numbers of infants born to each of five generations in a certain family. Change the data so that they represent the generation and natural log of the infants. Use the method of least squares to find the best fitting linear model for the changed data where x represents the generation. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)
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45
For a region, the percentage of adults 20-24 years of age how have not been married is given in the table below. <strong>For a region, the percentage of adults 20-24 years of age how have not been married is given in the table below.   The percentage of adults 20-24 years old who had never been married in 1960 was 37. Add this data point and use technology to find a linear model. What is the percentage of adults 20-24 years old in 2000 who have never been married, according to this model? Round your answer to the nearest integer.</strong> A) 84% B) 85% C) 88% D) 82% E) 86% The percentage of adults 20-24 years old who had never been married in 1960 was 37. Add this data point and use technology to find a linear model. What is the percentage of adults 20-24 years old in 2000 who have never been married, according to this model? Round your answer to the nearest integer.

A) 84%
B) 85%
C) 88%
D) 82%
E) 86%
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46
A factory makes 7-mm aluminum ball bearings. Company planners have determined how much it costs them to make certain numbers of cases of ball bearings in a single run. These costs are shown in the table below. The line of best fit for this data is <strong>A factory makes 7-mm aluminum ball bearings. Company planners have determined how much it costs them to make certain numbers of cases of ball bearings in a single run. These costs are shown in the table below. The line of best fit for this data is   Find the sum of the squares of the deviations. Give your answer to four decimal places.  </strong> A) 17.0012 B) 0.1452 C) 0.0100 D) 65.6179 E) 0.1000 Find the sum of the squares of the deviations. Give your answer to four decimal places. <strong>A factory makes 7-mm aluminum ball bearings. Company planners have determined how much it costs them to make certain numbers of cases of ball bearings in a single run. These costs are shown in the table below. The line of best fit for this data is   Find the sum of the squares of the deviations. Give your answer to four decimal places.  </strong> A) 17.0012 B) 0.1452 C) 0.0100 D) 65.6179 E) 0.1000

A) 17.0012
B) 0.1452
C) 0.0100
D) 65.6179
E) 0.1000
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47
The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March.  </strong> A)   B)   C)   D)   E)   where x is 1 in January, 2 in February, and 3 in March. <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March.  </strong> A)   B)   C)   D)   E)

A) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March.  </strong> A)   B)   C)   D)   E)
B) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March.  </strong> A)   B)   C)   D)   E)
C) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March.  </strong> A)   B)   C)   D)   E)
D) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March.  </strong> A)   B)   C)   D)   E)
E) <strong>The table below gives the number of inches of precipitation that fell in a city in the given months. Use the method of least squares to find the multivariable function f with inputs a and b for the best fitting line   where x is 1 in January, 2 in February, and 3 in March.  </strong> A)   B)   C)   D)   E)
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48
Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form <strong>Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)   and should not round the values until the final calculation. Give your coefficients to four decimal places. <strong>Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)

A) <strong>Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)
B) <strong>Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)
C) <strong>Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)
D) <strong>Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)
E) <strong>Before technology was available to fit many kinds of models to data, researchers and others were restricted to using linear models. Because exponential data are common in many fields of study, it has always been important to be able to fit an exponential model to data. Consider the table showing past and predicted populations for a region. Change the data so that they represent the year and natural log of the population. Use the method of least squares to find the best fitting linear model for the changed data where x represents the year. You should keep the data in the form   and should not round the values until the final calculation. Give your coefficients to four decimal places.  </strong> A)   B)   C)   D)   E)
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49
For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model   that best fits this data, where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)   that best fits this data, where x is the number of years since 1970. <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model   that best fits this data, where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)

A) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model   that best fits this data, where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)
B) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model   that best fits this data, where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)
C) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model   that best fits this data, where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)
D) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model   that best fits this data, where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)
E) <strong>For a region, the percentage of adults 20-24 years of age that have not been married is given in the table below. Give the linear model   that best fits this data, where x is the number of years since 1970.  </strong> A)   B)   C)   D)   E)
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50
The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let <strong>The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let   correspond to 1970. Round your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)   correspond to 1970. Round your coefficients to two decimal places. <strong>The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let   correspond to 1970. Round your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)

A) <strong>The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let   correspond to 1970. Round your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
B) <strong>The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let   correspond to 1970. Round your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
C) <strong>The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let   correspond to 1970. Round your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
D) <strong>The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let   correspond to 1970. Round your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
E) <strong>The number of animal experiments in a country declined between 1970 and 1980. The numbers for selected years are shown in the table. Use the method of least squares to find the best-fitting linear model for the data. Let   correspond to 1970. Round your coefficients to two decimal places.  </strong> A)   B)   C)   D)   E)
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