Exam 13: Section 10: Functions of Several Variables

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Find the least squares regression line for the points Find the least squares regression line for the points   . Round numerical values in your answer to two decimal places. . Round numerical values in your answer to two decimal places.

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Suppose an agronomist used four test plots to determine the relationship between the wheat yield y (in bushels per acre) and the amount of fertilizer x (in hundreds of pounds per acre). The results are shown in the table. Determine the least squares regression line for the data using the regression capabilities of a graphing utility, and then use this model to estimate the yield for a fertilizer application of 160 pounds per acre. Round your answer to one decimal place. Suppose an agronomist used four test plots to determine the relationship between the wheat yield y (in bushels per acre) and the amount of fertilizer x (in hundreds of pounds per acre). The results are shown in the table. Determine the least squares regression line for the data using the regression capabilities of a graphing utility, and then use this model to estimate the yield for a fertilizer application of 160 pounds per acre. Round your answer to one decimal place.

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Suppose a home improvement contractor is painting the walls and ceiling of a rectangular room. The volume of the room is 640 cubic feet. The cost of wall paint is $0.076 per square foot and the cost of ceiling paint is $0.19 per square foot. Let x, y, and z be the length, width, and height of a rectangular room respectively. Find the room dimensions that result in a minimum cost for the paint. Round your answers to two decimal places.

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The least squares regression line for the points shown in the graph is The least squares regression line for the points shown in the graph is   . Calculate S, the sum of the squared errors.  . Calculate S, the sum of the squared errors. The least squares regression line for the points shown in the graph is   . Calculate S, the sum of the squared errors.

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Find the least squares regression line for the points Find the least squares regression line for the points   . .

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Suppose a trough with trapezoidal cross sections is formed by turning up the edges of a 30-inch-wide sheet of aluminum (see figure). Find the cross section of maximum area. Suppose a trough with trapezoidal cross sections is formed by turning up the edges of a 30-inch-wide sheet of aluminum (see figure). Find the cross section of maximum area.

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Suppose a home improvement contractor is painting the walls and ceiling of a rectangular room. The volume of the room is 360 cubic feet. The cost of wall paint is $0.054 per square foot and the cost of ceiling paint is $0.18 per square foot. Let x, y, and z be the length, width, and height of a rectangular room respectively. Identify the room dimensions that result in a minimum cost for the paint and use these dimensions to find the minimum cost for the paint. Round your answer to the nearest cent.

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Find the minimum distance from the point Find the minimum distance from the point   to the plane   . to the plane Find the minimum distance from the point   to the plane   . .

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Suppose an agronomist used four test plots to determine the relationship between the wheat yield y (in bushels per acre) and the amount of fertilizer x (in hundreds of pounds per acre). The results are shown in the table. Use the regression capabilities of a graphing utility to find the least squares regression line for the data. Suppose an agronomist used four test plots to determine the relationship between the wheat yield y (in bushels per acre) and the amount of fertilizer x (in hundreds of pounds per acre). The results are shown in the table. Use the regression capabilities of a graphing utility to find the least squares regression line for the data.

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The material for constructing the base of an open box costs 1.5 times as much per unit area as the material for constructing the sides. For a fixed amount of money $150.00, find the dimensions of the box of largest volume that can be made.

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Find three positive numbers x, y, and z whose sum is 30 and the sum of the squares is a minimum.

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Suppose a store manager wants to know the demand y for an energy bar as a function of price x. The daily sales for three different prices of the energy bar are shown in the table. Determine the least squares regression line for the data using the regression capabilities of a graphing utility, and then use this model to estimate the demand when the price is $1.59. Suppose a store manager wants to know the demand y for an energy bar as a function of price x. The daily sales for three different prices of the energy bar are shown in the table. Determine the least squares regression line for the data using the regression capabilities of a graphing utility, and then use this model to estimate the demand when the price is $1.59.

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A company manufactures two types of sneakers: running shoes and basketball shoes. The total revenue from A company manufactures two types of sneakers: running shoes and basketball shoes. The total revenue from   units of running shoes and   units of basketball shoes is:   , where   and   are in thousands of units. Find   and   so as to maximize the revenue. units of running shoes and A company manufactures two types of sneakers: running shoes and basketball shoes. The total revenue from   units of running shoes and   units of basketball shoes is:   , where   and   are in thousands of units. Find   and   so as to maximize the revenue. units of basketball shoes is: A company manufactures two types of sneakers: running shoes and basketball shoes. The total revenue from   units of running shoes and   units of basketball shoes is:   , where   and   are in thousands of units. Find   and   so as to maximize the revenue. , where A company manufactures two types of sneakers: running shoes and basketball shoes. The total revenue from   units of running shoes and   units of basketball shoes is:   , where   and   are in thousands of units. Find   and   so as to maximize the revenue. and A company manufactures two types of sneakers: running shoes and basketball shoes. The total revenue from   units of running shoes and   units of basketball shoes is:   , where   and   are in thousands of units. Find   and   so as to maximize the revenue. are in thousands of units. Find A company manufactures two types of sneakers: running shoes and basketball shoes. The total revenue from   units of running shoes and   units of basketball shoes is:   , where   and   are in thousands of units. Find   and   so as to maximize the revenue. and A company manufactures two types of sneakers: running shoes and basketball shoes. The total revenue from   units of running shoes and   units of basketball shoes is:   , where   and   are in thousands of units. Find   and   so as to maximize the revenue. so as to maximize the revenue.

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Find the least squares regression line for the points shown in the graph. Find the least squares regression line for the points shown in the graph.

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Suppose a store manager wants to know the demand y for an energy bar as a function of price x. The daily sales for three different prices of the energy bar are shown in the table. Use the regression capabilities of a graphing utility to find the least squares regression line for the data. Suppose a store manager wants to know the demand y for an energy bar as a function of price x. The daily sales for three different prices of the energy bar are shown in the table. Use the regression capabilities of a graphing utility to find the least squares regression line for the data.

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Find the minimum distance from the point Find the minimum distance from the point   to the surface   . to the surface Find the minimum distance from the point   to the surface   . .

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Find three positive numbers x, y, and z whose sum is 24 and product is a maximum.

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Suppose a corporation manufactures candles at two locations. The cost of producing Suppose a corporation manufactures candles at two locations. The cost of producing   units at location 1 is   and the cost of producing   units at location 2 is   . The candles sell for $43 per unit. Find the quantity that should be produced at each location to maximize the profit   . units at location 1 is Suppose a corporation manufactures candles at two locations. The cost of producing   units at location 1 is   and the cost of producing   units at location 2 is   . The candles sell for $43 per unit. Find the quantity that should be produced at each location to maximize the profit   . and the cost of producing Suppose a corporation manufactures candles at two locations. The cost of producing   units at location 1 is   and the cost of producing   units at location 2 is   . The candles sell for $43 per unit. Find the quantity that should be produced at each location to maximize the profit   . units at location 2 is Suppose a corporation manufactures candles at two locations. The cost of producing   units at location 1 is   and the cost of producing   units at location 2 is   . The candles sell for $43 per unit. Find the quantity that should be produced at each location to maximize the profit   . . The candles sell for $43 per unit. Find the quantity that should be produced at each location to maximize the profit Suppose a corporation manufactures candles at two locations. The cost of producing   units at location 1 is   and the cost of producing   units at location 2 is   . The candles sell for $43 per unit. Find the quantity that should be produced at each location to maximize the profit   . .

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