Selling Price ($000s), y382.8391184.8348.9620.4355.5620.3387.1409.1294.1260698.3Square Footage, x222232901095204531082672406422762507168217163869

for sale in a certain region. Complete parts (a) through (h) below. s the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes Click the icon to view the housing data. (d) Is there a linear relation between square footage and asking price? O No O Yes (e) Find the least-squares regression line treating square footage as the explanatory variable. y = X + (D (Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.) 4 (f) Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice O A. For a house that is sold for $0, the predicted square footage is (Round to three decimal places as needed.) O B. For every additional square foot, the selling price increases by thousand dollars, on average (Round to three decimal places as needed.) O C. For every additional thousand dollars in selling price, the square footage increases by square feet, on average (Round to three decimal places as needed.) O D. For a house that is 0 square feet, the predicted selling price is thousand dollars ( Round to three decimal places as needed. ) Next