# Following output for the multi

Following output for the multiple regression problem shows results as results.

 SUMMARY OUTPUT Regression Statistics Multiple R 0.70955 R Square 0.503461 Adjusted R Square 0.410359 Standard Error 2.130054 Observations 20 ANOVA df SS MS F Significance F Regression 3 73.60593 24.53531 5.40767 0.0092117 Residual 16 72.59407 4.537129 Total 19 146.2 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 48.63081 6.3247384 7.688984 9.2E-07 35.222968 62.038661 Price of Coke -0.3035 0.1711745 -1.77307 0.09525 -0.6663779 0.0593694 Ad Expenditure 0.342937 0.1655882 2.071021 0.05489 -0.0080947 0.6939678 Pepsi Price 0.23406 0.1393504 1.679653 0.11244 -0.0613493 0.5294699

1. Find and Interpret Adjusted Coefficient of Determination, Adjusted R2, and the Correlation Coefficient, R.
2. The ANOVA table gives the F statistic for testing the claim that there is no significant relationship between your all of your independent and dependent variables.  The sig. value is your p value.  Using p-value decide you should Reject or Accept claim.
3. Write the Fitted Regression line from the results?
4. Decide about significance using the p-value.

Following output for the multiple regression problem shows results as results.

 SUMMARY OUTPUT Regression Statistics Multiple R 0.70955 R Square 0.503461 Adjusted R Square 0.410359 Standard Error 2.130054 Observations 20 ANOVA df SS MS F Significance F Regression 3 73.60593 24.53531 5.40767 0.0092117 Residual 16 72.59407 4.537129 Total 19 146.2 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 48.63081 6.3247384 7.688984 9.2E-07 35.222968 62.038661 Price of Coke -0.3035 0.1711745 -1.77307 0.09525 -0.6663779 0.0593694 Ad Expenditure 0.342937 0.1655882 2.071021 0.05489 -0.0080947 0.6939678 Pepsi Price 0.23406 0.1393504 1.679653 0.11244 -0.0613493 0.5294699

1. Find and Interpret Adjusted Coefficient of Determination, Adjusted R2, and the Correlation Coefficient, R.
2. The ANOVA table gives the F statistic for testing the claim that there is no significant relationship between your all of your independent and dependent variables.  The sig. value is your p value.  Using p-value decide you should Reject or Accept claim.
3. Write the Fitted Regression line from the results?
4. Decide about significance using the p-value.

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