-/0.76 Points] DETAILS The owner of a movie theater company used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x, ) and newspaper advertising (X2). The estimated regression equation was y = 82.8 + 2.23X1 + 1.80x2. The computer solution, based on a sample of eight weeks, provided SST = 25.7 and SSR = 23.345. (a) Compute and interpret R2 and Ra. (Round your answers to three decimal places.) The proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation is . Adjusting for the number of independent variables in the model, the proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation is (b) When television advertising was the only independent variable, R2 = 0.653 and R.2 = 0.595. Do you prefer the multiple regression results? Explain. Multiple regression analysis | ---Select-- v | preferred since both R2 and R2 show -Select- | percentage of the variability of y explained when both indepen lent variables are used