A box office analyst seeks to predict opening weekend box office gross for movies. Toward this goal, the analyst plans to use online trailer views as a predictor. For each of the 66 movies, the number of online trailer views from the release of the trailer through the Saturday before a movie opens and the opening weekend box office gross (in millions of dollars) are collected and stored in the accompanying table. The data are stored in the accompanying table and modelled by the equation Yi=0.599+1.411Xi, where Xi is the number of online trailer views in millions and Yi is the predicted opening weekend box office gross in millions of dollars. Perform a residual analysis for these data. Based on these results, evaluate whether the assumptions of regression have been seriously violated.

Which of the assumptions of regression, if any, have been seriously violated? Select all that apply. D. The assumption of linearity has been violated because the data are clearly curvilinear. E. The assumptions of linearity, independence, normality, and equal variance do not appear to have been seriously