1. Refer to the SPSS Regression analysis output, 1) write out the regression equation using the...

 

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1. Refer to the SPSS Regression analysis output, 1) write out the regression equation using the estimated coefficients in below (5 points), and 2) interpret the regression model (i.e. coefficients and R²) (5 points). Model 1 Model R Square 1 .614 a. Predictors: (Constant), Adv. Price R Model 1 784 Model Summary Regression Residual Total Sum of Squares 70266 292 44197.333 114463.625 a. Dependent Variable: Sales D. Predictors: (Constant, Adv, Price Adjusted R Square (Constant) Price Adv a. Dependent Variable: Sales 558.692 -12.975 22.083 ANOVA of 2 21 23 577 Unstandardized Coefficients B Std. Error Mean Square 35133.146 2104.635 Coefficients Std. Error of the Estimate 45.876 67.826 2.294 18.729 F 16.693 Standardized Coefficients Beta -.767 160 Sig 000 1 8.237 -5.657 1.179 Sig 000 .000 252 1. Refer to the SPSS Regression analysis output, 1) write out the regression equation using the estimated coefficients in below (5 points), and 2) interpret the regression model (i.e. coefficients and R²) (5 points). Model 1 Model R Square 1 .614 a. Predictors: (Constant), Adv. Price R Model 1 784 Model Summary Regression Residual Total Sum of Squares 70266 292 44197.333 114463.625 a. Dependent Variable: Sales D. Predictors: (Constant, Adv, Price Adjusted R Square (Constant) Price Adv a. Dependent Variable: Sales 558.692 -12.975 22.083 ANOVA of 2 21 23 577 Unstandardized Coefficients B Std. Error Mean Square 35133.146 2104.635 Coefficients Std. Error of the Estimate 45.876 67.826 2.294 18.729 F 16.693 Standardized Coefficients Beta -.767 160 Sig 000 1 8.237 -5.657 1.179 Sig 000 .000 252

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1 regression equation is Sales55869212975 Price 22083 Adv 2 interpretation If price and Adv is Zero ... View the full answer