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A B C D E G H J K M N P Q R S SUMMARY OUTPUT - FAVORED TV 2 3 Regression Statistics Dep. Variable - Natural Log of Favored TV Subscribers 4 Multiple R 0.836 5 R Square 0.699 6 Adjusted R Square 0.686 7 Standard Error 0.027 8 Observations 24 9 10 ANOVA Two separate regressions were run on monthly data from a two-year period. During that period, there was a modest 11 of SS MS F Significance F downturn in household incomes. 12 Regression 1 0.036 0.036 51.176 0.000 13 Residual 22 0.016 0.001 Due to the economic situation, prices remained constant during the entire period. 14 Total 23 0.052 Based on this information, what would happen to our number of subscribers, revenue and profits if income declined 15 by 29%? 16 Coefficients Standard Errol t Stat P-value Lower 95% Upper 95% 17 Intercept 8.882 2.652 -3.349 0.003 -14.383 3.382 18 Natural Log of Inco 1.793 0.251 7.154 0.000 1.274 2.313 19 20 21 22 23 24 SUMMARY OUTPUT - BASIC TV 25 Dep. Variable - Natural Log of Basic TV Subscribers 26 Regression Statistics 27 Multiple R 0.727 28 R Square 0.529 29 Adjusted R Square 0.508 30 Standard Error 0.004 31 Observations 24 32 33 ANOVA 34 df SS MS F Significance F 35 Regression 1 0.000 0.000 24.709 0.000 36 Residual 22 0.000 0.000 37 Total 23 0.001 38 39 Coefficients Standard Errol t Stat P-value Lower 95% I Upper 95% 40 Intercept 1.988 0.440 27.223 0.000 11.074 12.901 41 Natural Log of Inco -0.207 0.042 -4.971 0.000 -0.293 -0.121 42 43A B C D E G H J K M N P Q R S SUMMARY OUTPUT - FAVORED TV 2 3 Regression Statistics Dep. Variable - Natural Log of Favored TV Subscribers 4 Multiple R 0.836 5 R Square 0.699 6 Adjusted R Square 0.686 7 Standard Error 0.027 8 Observations 24 9 10 ANOVA Two separate regressions were run on monthly data from a two-year period. During that period, there was a modest 11 of SS MS F Significance F downturn in household incomes. 12 Regression 1 0.036 0.036 51.176 0.000 13 Residual 22 0.016 0.001 Due to the economic situation, prices remained constant during the entire period. 14 Total 23 0.052 Based on this information, what would happen to our number of subscribers, revenue and profits if income declined 15 by 29%? 16 Coefficients Standard Errol t Stat P-value Lower 95% Upper 95% 17 Intercept 8.882 2.652 -3.349 0.003 -14.383 3.382 18 Natural Log of Inco 1.793 0.251 7.154 0.000 1.274 2.313 19 20 21 22 23 24 SUMMARY OUTPUT - BASIC TV 25 Dep. Variable - Natural Log of Basic TV Subscribers 26 Regression Statistics 27 Multiple R 0.727 28 R Square 0.529 29 Adjusted R Square 0.508 30 Standard Error 0.004 31 Observations 24 32 33 ANOVA 34 df SS MS F Significance F 35 Regression 1 0.000 0.000 24.709 0.000 36 Residual 22 0.000 0.000 37 Total 23 0.001 38 39 Coefficients Standard Errol t Stat P-value Lower 95% I Upper 95% 40 Intercept 1.988 0.440 27.223 0.000 11.074 12.901 41 Natural Log of Inco -0.207 0.042 -4.971 0.000 -0.293 -0.121 42 43
