Q 3. Following output for the multiple regression problem shows results as results. (B) SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.410359 Standard Error Observations 0.70955 0.503461 2.130054 20 ANOVA F Significance F 0.0092117 df MS Regression Residual 3 73.60593 24.53531 5.40767 16 72.59407 4.537129 19 146.2 Total Intercept Price of Coke Ad Expenditure Pepsi Price Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 48.63081 -0.3035 0.342937 0.23406 6.3247384 7.688984 9.2E-07 0.1711745 -1.77307 0.09525 0.1655882 2.0710210.05489 -0.0080947 0.6939678 0.1393504 1.679653 0.11244| 35.222968 62.038661 -0.6663779 0.0593694 -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?

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