Q 3. (B) Following output for the multiple regression problem shows results as results. SUMMARY OUTPUT Regression Statistics Multiple R R Square 0.70955 0.503461 Adjusted R Square 0.410359 Standard...

Extracted text: Q 3. (B) Following output for the multiple regression problem shows results as results. SUMMARY OUTPUT Regression Statistics Multiple R R Square 0.70955 0.503461 Adjusted R Square 0.410359 Standard Error 2.130054 Observations 20 ANOVA Significance df MS F Regression 3 73.60593 24.53531 5.40767 0.0092117 Residual 16 72.59407 4.537129 Total 19 146.2 Standard Upper 95% Coefficients Error t Stat P-value Lower 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


Extracted text: 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.