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One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling

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One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) throL E Click the icon to view the housing data. (a) Which variable is the explanatory variable? ~" Square Footage Selling Price (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. A. we. c. D. Ax i V i Ay . ' . 4500 JJ, Q 75 4500 a . Q .- Q C 1 .- JZ' " U y 7 X 1000-4 > 15 1000-! > 150 750 1000 4500 1000 4500 1000 4500 (c) Determine the linear conelation coefcient between square footage and asking price. r= 0.904 (Round to three decimal places as needed.) (d) Is there a linear relation between square footage and asking price? u.\" Yes No (e) Find the least-squares regression line treating square footage as the explanatory variable. y = x + (Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.)

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