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Q6. The following regression model was estimated. O is the number of meals served, P is the average price per meal (customer ticket amount, in dollars), Pxis the average price charged by competitors (in dollars), Ad is the local advertising budget for each outlet (in dollars), and / is the average income per household in each outlet's immediate service area. Least squares estimation of the regression equation on the basis. of the 25 data observations resulted in the estimated regression coefficients and other statistics given in Table below. Variable Coefficient Standard Error of Coefficient Intercept 128832.240 69974.818 Price (P) -19875.954 4100.856 Competitor Price (Px) 15467.936 459.280 Advertising (Ad) 0.261 0.094 Income () 8.780 1.017 Coefficient of determination R2 =83.3% (a) Interpret the coefficients of independent variables. (b) Test the significance of independent variables at 5% level of Significance. (c) Interpret R with the help of adjusted R2. (d) Test for the overall significance of the regression