1. Provide further assistance to Sam Easton by carrying out and interpreting the results of an appropriate Easton Realty Company (B) business case Photodisc/Getty Images stepwise regression designed to indicate which of the predictive variables mentioned in Case Question 1 are most important in determining the sales price of a house. (Note to Minitab users: For consistency with Excel results, you may wish to select the alpha-toenter and alpha-to-remove values listed in the Minitab portion of Computer Solutions 17.6.) Briefly discuss the results, including making and supporting any recommendations you believe could benefit Mr. Easton.

2. Based on your analysis in Case Question 2, and even considering the results from a complete regression that uses all of the possible predictive variables identified in Case Question 1, does there seem to be very much variation in sales price that is not explained by the independent variables provided in the data? If so, what other quantitative or nonquantitative variables associated with a house might cause its sales price to be especially high or low compared to the estimated value based on models such as the ones you applied here and in Case Question 2?