Refer to the Real estate sales data set in Appendix. Obtain a random sample of 200 cases from the_ 522 cases in this data set. Using the random sample, build a regression model to predict sales price (Y) as a function of finished square feet (X). The analysis should include an assessment of the degree to which the key regression assumptions are satisfied. If the regression assumptions are not met, include and justify appropriate remedial measures. Use the final mode! to predict sales price for two houses that are about to come on the market: the first has X = 1100 finished square feet and the second has X = 4900 finished square feet. Assess the strengths and weaknesses of the final model.