The owner of a movie theater company used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x1) and newspaper advertising (x2). The estimated regression equation was ŷ = 82.1 + 2.23x1 + 1.20x2. The computer solution, based on a sample of eight weeks, provided SST = 25.9 and SSR = 23.415 .(a) Compute and interpret R2 and Ra2.(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_______
The owner of a movie theater company used multiple regression analysis to predict gross revenue (y) as a
The estimated regression equation was
ŷ = 82.1 + 2.23x1 + 1.20x2.
The computer solution, based on a sample of eight weeks, provided SST = 25.9 and SSR = 23.415
.(a) Compute and interpret R2 and Ra2.(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_____________.
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