Regression Models:

Model 1 TV Regression Data: SUMMARY OUTPUT Regression Statistics Multiple R 0.782224425 TV Residual Plot R Square 0.611875051 10 Adjusted R Square 0.609914824 UT Standard Error 3.258656369 Observations 200 Residuals -5 50 200 250 300 350 ANOVA -10 df SS MS F Significance F TV Regression 1 3314.618167 3314.618 312.1449944 1.46739E-42 Residual 198 2102.530583 10.61884 Total 199 5417.14875 TV Line Fit Plot Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 30 Lower 95.0% Upper 95.0% Intercept 7.032593549 0.45784294 15.36028 1.4063E-35 6.129719269 7.935467829 6.129719269 7.935467829 20 TV 0.04753664 0.002690607 17.66763 1.46739E-42 0.042230716 0.052842565 0.042230716 0.052842565 sales 10 sales 0 Predicted sales 100 200 300 400 TVModel 2 Radio Regression Data SUMMARY OUTPUT radio Residual Plot Regression Statistics 10 Multiple R 0.576222575 Residuals O R Square 0.332032455 30 50 60 Adjusted R Square 0.328658882 10 Standard Error 4.274944355 radio Line Fit Plot Observations 200 -20 30 radio 20 ANOVA sales df SS MS F Significance F 10 sales Regression 1 1798.669201 1798.6692 98.421588 4.35497E-19 0 Predicted sales Residual 198 3618.479549 18.275149 0 20 40 60 Total 199 5417.14875 radio Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 9.311638095 0.562900496 16.542245 3.561E-39 8.201588478 10.42168771 8.201588478 10.42168771 radio 0.202495783 0.020411306 9.9207655 4.355E-19 0.162244331 0.242747236 0.162244331 0.242747236Model 3 Newspaper Regression Data SUMMARY OUTPUT newspaper Residual Plot Regression Statistics 20 Multiple R 0.228299026 10 R Square 0.052120445 Adjusted R Square 0.047333175 Residuals 0 Standard Error 5.092480367 80 100 120 -10 60 $ newspaper Line Fit Plot Observations 200 30 20 newspaper 20 ANOVA sales sales df SS MS F Significance F 10 Regression 1 282.3442059 282.3442059 10.88729908 0.001148196 0 Predicted sales Residual 198 5134.804544 25.93335628 50 100 150 Total 199 5417.14875 newspaper Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 12.35140707 0.621420188 19.87609562 4.71351E-49 11.1259556 13.57685854 11.1259556 13.57685854 newspaper 0.054693098 0.016575722 3.299590744 0.001148196 0.022005485 0.087380712 0.022005485 0.087380712