Deck 1: Section 4: Preparation for Calculus

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Question
Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the regression capabilities of a graphing utility to fit a quadratic model to the data. Round the numerical values in your answer to two decimal places, where applicable. <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the regression capabilities of a graphing utility to fit a quadratic model to the data. Round the numerical values in your answer to two decimal places, where applicable.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the regression capabilities of a graphing utility to fit a quadratic model to the data. Round the numerical values in your answer to two decimal places, where applicable.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the regression capabilities of a graphing utility to fit a quadratic model to the data. Round the numerical values in your answer to two decimal places, where applicable.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the regression capabilities of a graphing utility to fit a quadratic model to the data. Round the numerical values in your answer to two decimal places, where applicable.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the regression capabilities of a graphing utility to fit a quadratic model to the data. Round the numerical values in your answer to two decimal places, where applicable.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the regression capabilities of a graphing utility to fit a quadratic model to the data. Round the numerical values in your answer to two decimal places, where applicable.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
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Question
Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use a graphing utility to plot the data and graph the quadratic model. <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use a graphing utility to plot the data and graph the quadratic model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use a graphing utility to plot the data and graph the quadratic model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use a graphing utility to plot the data and graph the quadratic model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use a graphing utility to plot the data and graph the quadratic model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use a graphing utility to plot the data and graph the quadratic model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use a graphing utility to plot the data and graph the quadratic model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the model <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the model   to estimate the speed of the object after   seconds. Round your answer to two decimal places.  </strong> A) 21.05 meters/second B) 20.95 meters/second C) 24.25 meters/second D) 23.55 meters/second E) 22.65 meters/second <div style=padding-top: 35px> to estimate the speed of the object after <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the model   to estimate the speed of the object after   seconds. Round your answer to two decimal places.  </strong> A) 21.05 meters/second B) 20.95 meters/second C) 24.25 meters/second D) 23.55 meters/second E) 22.65 meters/second <div style=padding-top: 35px> seconds. Round your answer to two decimal places. <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the model   to estimate the speed of the object after   seconds. Round your answer to two decimal places.  </strong> A) 21.05 meters/second B) 20.95 meters/second C) 24.25 meters/second D) 23.55 meters/second E) 22.65 meters/second <div style=padding-top: 35px>

A) 21.05 meters/second
B) 20.95 meters/second
C) 24.25 meters/second
D) 23.55 meters/second
E) 22.65 meters/second
Question
A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use a graphing utility to plot the data and graph the cubic model. <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use a graphing utility to plot the data and graph the cubic model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use a graphing utility to plot the data and graph the cubic model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use a graphing utility to plot the data and graph the cubic model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use a graphing utility to plot the data and graph the cubic model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use a graphing utility to plot the data and graph the cubic model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use a graphing utility to plot the data and graph the cubic model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
Each ordered pair gives the exposure index x of a carcinogenic substance and the cancer mortality y per 100,000 people in the population. Use the model <strong>Each ordered pair gives the exposure index x of a carcinogenic substance and the cancer mortality y per 100,000 people in the population. Use the model   to approximate y if   . Round your answer to one decimal place.  </strong> A) 168.2 B) 163.6 C) 182.0 D) 172.8 E) 177.4 <div style=padding-top: 35px> to approximate y if <strong>Each ordered pair gives the exposure index x of a carcinogenic substance and the cancer mortality y per 100,000 people in the population. Use the model   to approximate y if   . Round your answer to one decimal place.  </strong> A) 168.2 B) 163.6 C) 182.0 D) 172.8 E) 177.4 <div style=padding-top: 35px> . Round your answer to one decimal place. <strong>Each ordered pair gives the exposure index x of a carcinogenic substance and the cancer mortality y per 100,000 people in the population. Use the model   to approximate y if   . Round your answer to one decimal place.  </strong> A) 168.2 B) 163.6 C) 182.0 D) 172.8 E) 177.4 <div style=padding-top: 35px>

A) 168.2
B) 163.6
C) 182.0
D) 172.8
E) 177.4
Question
Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is, <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model. <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is, <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places. <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the model <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the model   to approximate the breaking strength when   . Round your answer to two decimal places.  </strong> A) 595.98 pounds B) 390.19 pounds C) 957.76 pounds D) 801.77 pounds E) 751.97 pounds <div style=padding-top: 35px> to approximate the breaking strength when <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the model   to approximate the breaking strength when   . Round your answer to two decimal places.  </strong> A) 595.98 pounds B) 390.19 pounds C) 957.76 pounds D) 801.77 pounds E) 751.97 pounds <div style=padding-top: 35px> . Round your answer to two decimal places. <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the model   to approximate the breaking strength when   . Round your answer to two decimal places.  </strong> A) 595.98 pounds B) 390.19 pounds C) 957.76 pounds D) 801.77 pounds E) 751.97 pounds <div style=padding-top: 35px>

A) 595.98 pounds
B) 390.19 pounds
C) 957.76 pounds
D) 801.77 pounds
E) 751.97 pounds
Question
In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place. <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the regression capabilities of a graphing utility to find a cubic model for the data. Round the numerical values in your answer to three decimal places, where applicable. <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the regression capabilities of a graphing utility to find a cubic model for the data. Round the numerical values in your answer to three decimal places, where applicable.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the regression capabilities of a graphing utility to find a cubic model for the data. Round the numerical values in your answer to three decimal places, where applicable.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the regression capabilities of a graphing utility to find a cubic model for the data. Round the numerical values in your answer to three decimal places, where applicable.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the regression capabilities of a graphing utility to find a cubic model for the data. Round the numerical values in your answer to three decimal places, where applicable.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the regression capabilities of a graphing utility to find a cubic model for the data. Round the numerical values in your answer to three decimal places, where applicable.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the regression capabilities of a graphing utility to find a cubic model for the data. Round the numerical values in your answer to three decimal places, where applicable.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is, <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the model   to estimate the elongation of the spring when a force of 55 newtons is applied. Round your answer to two decimal places.  </strong> A) 8.08 cm B) 6.38 cm C) 4.68 cm D) 2.98 cm E) 9.78 cm <div style=padding-top: 35px> where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the model <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the model   to estimate the elongation of the spring when a force of 55 newtons is applied. Round your answer to two decimal places.  </strong> A) 8.08 cm B) 6.38 cm C) 4.68 cm D) 2.98 cm E) 9.78 cm <div style=padding-top: 35px> to estimate the elongation of the spring when a force of 55 newtons is applied. Round your answer to two decimal places. <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the model   to estimate the elongation of the spring when a force of 55 newtons is applied. Round your answer to two decimal places.  </strong> A) 8.08 cm B) 6.38 cm C) 4.68 cm D) 2.98 cm E) 9.78 cm <div style=padding-top: 35px>

A) 8.08 cm
B) 6.38 cm
C) 4.68 cm
D) 2.98 cm
E) 9.78 cm
Question
Which function below would be most appropriate model for the given data? <strong>Which function below would be most appropriate model for the given data?  </strong> A) no apparent relationship between x and y B) trigonometric C) quadratic D) linear <div style=padding-top: 35px>

A) no apparent relationship between x and y
B) trigonometric
C) quadratic
D) linear
Question
Determine which type of function would be most appropriate to fit the given data. <strong>Determine which type of function would be most appropriate to fit the given data.  </strong> A) exponential B) linear C) quadratic D) no relationship E) trigonometric <div style=padding-top: 35px>

A) exponential
B) linear
C) quadratic
D) no relationship
E) trigonometric
Question
A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the model <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the model   to approximate the horsepower when the engine is running at 5500 revolutions per minute. Round your answer to two decimal places.  </strong> A) 260.77 hp B) 262.73 hp C) 262.36 hp D) 261.38 hp E) 261.91 hp <div style=padding-top: 35px> to approximate the horsepower when the engine is running at 5500 revolutions per minute. Round your answer to two decimal places. <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the model   to approximate the horsepower when the engine is running at 5500 revolutions per minute. Round your answer to two decimal places.  </strong> A) 260.77 hp B) 262.73 hp C) 262.36 hp D) 261.38 hp E) 261.91 hp <div style=padding-top: 35px>

A) 260.77 hp
B) 262.73 hp
C) 262.36 hp
D) 261.38 hp
E) 261.91 hp
Question
The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> corresponds to 1:00 pm, <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm , <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> ), (2:00 pm , <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> ), (3:00 pm , <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> ), (4:00 pm , <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> ), (5:00 pm , <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px> )

A) <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
Question
In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place. <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>

A) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
B) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
C) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
D) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
E) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)   <div style=padding-top: 35px>
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Deck 1: Section 4: Preparation for Calculus
1
Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the regression capabilities of a graphing utility to fit a quadratic model to the data. Round the numerical values in your answer to two decimal places, where applicable. <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the regression capabilities of a graphing utility to fit a quadratic model to the data. Round the numerical values in your answer to two decimal places, where applicable.  </strong> A)   B)   C)   D)   E)

A) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the regression capabilities of a graphing utility to fit a quadratic model to the data. Round the numerical values in your answer to two decimal places, where applicable.  </strong> A)   B)   C)   D)   E)
B) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the regression capabilities of a graphing utility to fit a quadratic model to the data. Round the numerical values in your answer to two decimal places, where applicable.  </strong> A)   B)   C)   D)   E)
C) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the regression capabilities of a graphing utility to fit a quadratic model to the data. Round the numerical values in your answer to two decimal places, where applicable.  </strong> A)   B)   C)   D)   E)
D) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the regression capabilities of a graphing utility to fit a quadratic model to the data. Round the numerical values in your answer to two decimal places, where applicable.  </strong> A)   B)   C)   D)   E)
E) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the regression capabilities of a graphing utility to fit a quadratic model to the data. Round the numerical values in your answer to two decimal places, where applicable.  </strong> A)   B)   C)   D)   E)
2
Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use a graphing utility to plot the data and graph the quadratic model. <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use a graphing utility to plot the data and graph the quadratic model.  </strong> A)   B)   C)   D)   E)

A) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use a graphing utility to plot the data and graph the quadratic model.  </strong> A)   B)   C)   D)   E)
B) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use a graphing utility to plot the data and graph the quadratic model.  </strong> A)   B)   C)   D)   E)
C) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use a graphing utility to plot the data and graph the quadratic model.  </strong> A)   B)   C)   D)   E)
D) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use a graphing utility to plot the data and graph the quadratic model.  </strong> A)   B)   C)   D)   E)
E) <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use a graphing utility to plot the data and graph the quadratic model.  </strong> A)   B)   C)   D)   E)
3
In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the model <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the model   to estimate the speed of the object after   seconds. Round your answer to two decimal places.  </strong> A) 21.05 meters/second B) 20.95 meters/second C) 24.25 meters/second D) 23.55 meters/second E) 22.65 meters/second to estimate the speed of the object after <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the model   to estimate the speed of the object after   seconds. Round your answer to two decimal places.  </strong> A) 21.05 meters/second B) 20.95 meters/second C) 24.25 meters/second D) 23.55 meters/second E) 22.65 meters/second seconds. Round your answer to two decimal places. <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the model   to estimate the speed of the object after   seconds. Round your answer to two decimal places.  </strong> A) 21.05 meters/second B) 20.95 meters/second C) 24.25 meters/second D) 23.55 meters/second E) 22.65 meters/second

A) 21.05 meters/second
B) 20.95 meters/second
C) 24.25 meters/second
D) 23.55 meters/second
E) 22.65 meters/second
22.65 meters/second
4
A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use a graphing utility to plot the data and graph the cubic model. <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use a graphing utility to plot the data and graph the cubic model.  </strong> A)   B)   C)   D)   E)

A) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use a graphing utility to plot the data and graph the cubic model.  </strong> A)   B)   C)   D)   E)
B) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use a graphing utility to plot the data and graph the cubic model.  </strong> A)   B)   C)   D)   E)
C) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use a graphing utility to plot the data and graph the cubic model.  </strong> A)   B)   C)   D)   E)
D) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use a graphing utility to plot the data and graph the cubic model.  </strong> A)   B)   C)   D)   E)
E) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use a graphing utility to plot the data and graph the cubic model.  </strong> A)   B)   C)   D)   E)
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5
Each ordered pair gives the exposure index x of a carcinogenic substance and the cancer mortality y per 100,000 people in the population. Use the model <strong>Each ordered pair gives the exposure index x of a carcinogenic substance and the cancer mortality y per 100,000 people in the population. Use the model   to approximate y if   . Round your answer to one decimal place.  </strong> A) 168.2 B) 163.6 C) 182.0 D) 172.8 E) 177.4 to approximate y if <strong>Each ordered pair gives the exposure index x of a carcinogenic substance and the cancer mortality y per 100,000 people in the population. Use the model   to approximate y if   . Round your answer to one decimal place.  </strong> A) 168.2 B) 163.6 C) 182.0 D) 172.8 E) 177.4 . Round your answer to one decimal place. <strong>Each ordered pair gives the exposure index x of a carcinogenic substance and the cancer mortality y per 100,000 people in the population. Use the model   to approximate y if   . Round your answer to one decimal place.  </strong> A) 168.2 B) 163.6 C) 182.0 D) 172.8 E) 177.4

A) 168.2
B) 163.6
C) 182.0
D) 172.8
E) 177.4
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6
Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is, <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model.  </strong> A)   B)   C)   D)   E)   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model. <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model.  </strong> A)   B)   C)   D)   E)

A) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model.  </strong> A)   B)   C)   D)   E)
B) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model.  </strong> A)   B)   C)   D)   E)
C) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model.  </strong> A)   B)   C)   D)   E)
D) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model.  </strong> A)   B)   C)   D)   E)
E) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use a graphing utility to plot the data and graph the linear model.  </strong> A)   B)   C)   D)   E)
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7
Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is, <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places.  </strong> A)   B)   C)   D)   E)   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places. <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places.  </strong> A)   B)   C)   D)   E)

A) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places.  </strong> A)   B)   C)   D)   E)
B) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places.  </strong> A)   B)   C)   D)   E)
C) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places.  </strong> A)   B)   C)   D)   E)
D) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places.  </strong> A)   B)   C)   D)   E)
E) <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the regression capabilities of a graphing utility to find a linear model for the data. Round the numerical values in your answer to three decimal places.  </strong> A)   B)   C)   D)   E)
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8
Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the model <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the model   to approximate the breaking strength when   . Round your answer to two decimal places.  </strong> A) 595.98 pounds B) 390.19 pounds C) 957.76 pounds D) 801.77 pounds E) 751.97 pounds to approximate the breaking strength when <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the model   to approximate the breaking strength when   . Round your answer to two decimal places.  </strong> A) 595.98 pounds B) 390.19 pounds C) 957.76 pounds D) 801.77 pounds E) 751.97 pounds . Round your answer to two decimal places. <strong>Students in a lab measured the breaking strength S (in pounds) of wood 2 inches thick, x inches high, and 12 inches long. The results are shown in the table below. Use the model   to approximate the breaking strength when   . Round your answer to two decimal places.  </strong> A) 595.98 pounds B) 390.19 pounds C) 957.76 pounds D) 801.77 pounds E) 751.97 pounds

A) 595.98 pounds
B) 390.19 pounds
C) 957.76 pounds
D) 801.77 pounds
E) 751.97 pounds
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9
In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place. <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)

A) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)
B) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)
C) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)
D) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)
E) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)
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10
A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the regression capabilities of a graphing utility to find a cubic model for the data. Round the numerical values in your answer to three decimal places, where applicable. <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the regression capabilities of a graphing utility to find a cubic model for the data. Round the numerical values in your answer to three decimal places, where applicable.  </strong> A)   B)   C)   D)   E)

A) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the regression capabilities of a graphing utility to find a cubic model for the data. Round the numerical values in your answer to three decimal places, where applicable.  </strong> A)   B)   C)   D)   E)
B) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the regression capabilities of a graphing utility to find a cubic model for the data. Round the numerical values in your answer to three decimal places, where applicable.  </strong> A)   B)   C)   D)   E)
C) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the regression capabilities of a graphing utility to find a cubic model for the data. Round the numerical values in your answer to three decimal places, where applicable.  </strong> A)   B)   C)   D)   E)
D) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the regression capabilities of a graphing utility to find a cubic model for the data. Round the numerical values in your answer to three decimal places, where applicable.  </strong> A)   B)   C)   D)   E)
E) <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the regression capabilities of a graphing utility to find a cubic model for the data. Round the numerical values in your answer to three decimal places, where applicable.  </strong> A)   B)   C)   D)   E)
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11
Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is, <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the model   to estimate the elongation of the spring when a force of 55 newtons is applied. Round your answer to two decimal places.  </strong> A) 8.08 cm B) 6.38 cm C) 4.68 cm D) 2.98 cm E) 9.78 cm where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the model <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the model   to estimate the elongation of the spring when a force of 55 newtons is applied. Round your answer to two decimal places.  </strong> A) 8.08 cm B) 6.38 cm C) 4.68 cm D) 2.98 cm E) 9.78 cm to estimate the elongation of the spring when a force of 55 newtons is applied. Round your answer to two decimal places. <strong>Hooke's Law states that the force F required to compress or stretch a spring (within its elastic limits) is proportional to the distance d that the spring is compressed or stretched from its original length. That is,   where k is a measure of the stiffness of the spring and is called the spring constant. The table shows the elongation d in centimeters of a spring when a force of F newtons is applied. Use the model   to estimate the elongation of the spring when a force of 55 newtons is applied. Round your answer to two decimal places.  </strong> A) 8.08 cm B) 6.38 cm C) 4.68 cm D) 2.98 cm E) 9.78 cm

A) 8.08 cm
B) 6.38 cm
C) 4.68 cm
D) 2.98 cm
E) 9.78 cm
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12
Which function below would be most appropriate model for the given data? <strong>Which function below would be most appropriate model for the given data?  </strong> A) no apparent relationship between x and y B) trigonometric C) quadratic D) linear

A) no apparent relationship between x and y
B) trigonometric
C) quadratic
D) linear
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13
Determine which type of function would be most appropriate to fit the given data. <strong>Determine which type of function would be most appropriate to fit the given data.  </strong> A) exponential B) linear C) quadratic D) no relationship E) trigonometric

A) exponential
B) linear
C) quadratic
D) no relationship
E) trigonometric
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14
A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the model <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the model   to approximate the horsepower when the engine is running at 5500 revolutions per minute. Round your answer to two decimal places.  </strong> A) 260.77 hp B) 262.73 hp C) 262.36 hp D) 261.38 hp E) 261.91 hp to approximate the horsepower when the engine is running at 5500 revolutions per minute. Round your answer to two decimal places. <strong>A V8 car engine is coupled to a dynamometer and the horsepower y is measured at different engine speeds x (in thousands of revolutions per minute). The results are shown in the table below. Use the model   to approximate the horsepower when the engine is running at 5500 revolutions per minute. Round your answer to two decimal places.  </strong> A) 260.77 hp B) 262.73 hp C) 262.36 hp D) 261.38 hp E) 261.91 hp

A) 260.77 hp
B) 262.73 hp
C) 262.36 hp
D) 261.38 hp
E) 261.91 hp
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15
The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   corresponds to 1:00 pm, <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm , <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   ), (2:00 pm , <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   ), (3:00 pm , <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   ), (4:00 pm , <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   ), (5:00 pm , <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)   )

A) <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)
B) <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)
C) <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)
D) <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)
E) <strong>The following ordered pairs represent temperatures in degrees Fahrenheit taken each hour from 1:00 pm until 5:00 pm. Let T be temperature, and let t be time, where   corresponds to 1:00 pm,   corresponds to 2:00 pm, and so on. Plot the data. Visually find a linear model for the data and find its equation. From the visual linear model that you created, determine which of the models that follow appears to best approximate the data. (1:00 pm ,   ), (2:00 pm ,   ), (3:00 pm ,   ), (4:00 pm ,   ), (5:00 pm ,   )</strong> A)   B)   C)   D)   E)
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16
In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place. <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)

A) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)
B) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)
C) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)
D) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)
E) <strong>In an experiment, students measured the speed s (in meters per second) of a falling object t seconds after it was released. The results are shown in the table below. Use the regression capabilities of a graphing utility to find a linear model for the data. Round all numerical values in your answer to one decimal place.  </strong> A)   B)   C)   D)   E)
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