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 (x). The estimated regression equation was y = 82.5 +2.26x + 1.60x. The computer solution, based on a sample of eight weeks, provided SST = 25.4 and SSR = 23.355. (a) Compute and interpret R2 and R2. (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 in the model, 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 (b) When television advertising was the only independent variable, R2 = 0.653 and R2 = 0.595. Do you prefer the multiple regression results? Explain. 8 preferred since both R2 and R 2 show an increased percentage of the variability of y explained when both independent variables are used. Multiple regression analysis is a Submit Answer

he onner of a movie theater colmpany used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x1) and newspeper advertising (x2). The estimated eqrestion equation was 9=82.5+2.26x1+1.60x2 the computer solution, based on a sample of eight weeks, provided 55T=25.4 and 554=23.355. (a) Compute and interpret A2 and Ra2, (Round your onswers to three decimal plucts.). The propertion of the varlabitity in the dependent variable that can be explained by the estimated mulipie revreswon equation is Aabsting for the number of independent variabic in the model, the propartion of the varibblity in the dependect varsple that can be explained by the estimated maltiple regrestion equation is (b) When tetevision advertising was the only independent variable, A2=0.653 and A02=0.555. Do you brefer ve mukple regression results? taptain. Mutiple regression analyus prefered since both A2 and h22 show * percentage of the varablity of y explained when both independent variabies are used