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

= 83.7 + 2.23x₁ + 1.90x₂.

The computer solution, based on a sample of eight weeks, provided SST = 25.6 and SSR = 23.475.(a)Compute and interpret

R² and R_a².

(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_a² = 0.595.

Do you prefer the multiple regression results? Explain.Multiple regression analysis ---Select--- is is not preferred since both R² and R_a² show ---Select--- an increased a decreased percentage of the variability of y explained when both independent variables are used.