Update now s for Office are ready to be installed, but first we need to dose some apps. SUMMARY OUTPUT Regression Statistics Multiple R 0.5214 R Square 0.2719 Adjusted R Square 0.2567 Standard Error 804.7971 Observations 50 Intercept PromoCode Coefficients 3373.9 983.6 Standard Error 179.9581 232.3249 Stat 18.7483 4.2337 P-value 1.0E-23 1.0E-04 *Write the best multiple linear regression equation. (2 pt) *Identify the adjusted R' as a percentage and put this value in a sentence to describe how well the multiple linear regression model predicts amount charged. (2 pt) *Interpret the slope coefficient for annual income in predicting the amount charged. Be sure to use the correct units of dollars for household income. (2 pt) *Use this multiple linear regression equation to predict the amount the charged for a household of 4 who received the promotion and has an annual income of $60,000. (2 pt) (Note: you may not need to use all the information given. If one of the variables is not significant from part 1) above, then it will not be included in the model.) *Based on this analysis, was the promotion effective in increasing customer charges? Explain. (3 pt) Focus