2:58 K 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) through (h) below. 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. O A. Ау 4500- ******** 1000+ 1000 4500 Q Yes No B. AX 4500- 1000 150 750 Q C. 750- 150+ 1000 LTE 2.4G. 30% r= 0.905 (Round to three decimal places as needed.) (d) Is there a linear relation between square footage and asking price? 1 4500 (c) Determine the linear correlation coefficient between square footage and asking price. Q D. Ay 750- 150+ 1000 (e) Find the least-squares regression line treating square footage as the explanatory variable. y = 0.16 x+ (16.49 (Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.) 4500

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