Run a multiple regression analysis with mm_sales as a dependent variable and price and advertising presence of all 4 brands as independent variables. That is, you have eight independent variables in this model. Copy and paste the regression outcome. Show only 3 decimal places (e.g., 3.214).

*THIS ANALYSIS IS LISTED IN THE PHOTOS*

1. Interpret the Regression outcome:

a. What is the adjusted R2 ?

b. Are this regression models statistically significant? How did you determine this?

c. What is the regression equation estimated from this output? Write the regression equation.

d. Which independent variables appear to be significant predictors of Minute Maid sales? Which independent variables are not meaningful predictors of Minute Maid sales? How would you interpret this?

e. Predict the sales of Minute Maid when the price is $2.00 and there are no ads. Assume that competitors are priced at their average price over the 116 weeks and all competitors are advertised. Show the equation.

here are better pictures of the information:

\begin{tabular}{l|l|l|l|l} regression & mm_oj_sales_chicago_HW3 (2) & mm_oj_sales_chicago_HW3 & Variable Info \end{tabular} SUMMARY OUTPUT \begin{tabular}{|l|r|} \hline sion Srunistics & \\ \hline Multiple R & 0.895 \\ R. Sesare & 0.802 \\ \hline Adjusted R. Square & 0.787 \\ \hline Standard Error & 111.690 \\ \hline Obervations & 116.000 \\ \hline \hline \end{tabular} regression mm_oj_sales_chicago_HW3 (2) mm_oj_sales_chicago_HW3 Variable Info mm_oj_sales_chicago_HW3 (2) Hw 3