The data in the accompanying table represent the size (in square feet) and monthly rent for a sample of 20 apartments in a neighborhood in a recent year. The data are modeled by the equation Y, = 41.5581 + 1.1793X , where X, is the size and Y, is the predicted monthly rent for the ith apartment. Perform a residual analysis for these data. Based on these results, evaluate whether the assumptions of regression have been seriously violated. Click the icon to view the data table. . . . Which of the assumptions of regression, if any, have been seriously violated? A. The assumptions of linearity, independence, normality, and equal variance do not appear to have been seriously violated. O B. The assumption of normality has been violated because the normal probability plot does not appear to be a straight line. O C. The assumption of equal variance has been violated because the variability of the residuals is much greater when the apartment size is larger. O D. The assumption of linearity has been violated because the data are clearly curvilinear. O E. The assumption of independence has been violated because errors from later time periods appear to be related to those from earlier time periods. Time Remaining: 01:18:55 Next