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(SHOW ALL WORK and BRIEFLY EXPLAIN ALL ANSWERS). Regression Analysis: Hwy MPG versus Displacement, Fuel, Drive Model Summary S R-sq R-sq (adj ) R-sa (pred) 2. 96876 73 . 17% 72. 82% 72 . 40% Coefficients Term SE Coef T-Value P-Value Constant 35 . 827 0. 770 46 .51 0 . 000 Displacement -3. 242 0. 194 Fuel Regular 2. 135 0 . 452 4.73 0 . 000 Drive F 3 . 075 0 . 539 R 3. 311 0 . 541 Regression Equation Hwy MPG = 35. 827 - 3. 242 Displacement + 0.0 Fuel Premium + 2. 135 Fuel Regular + 0. 0 Drive A + 3. 075 Drive F + 3. 311 Drive R For 309 cars, highway mileage (Hwy MPG) was recorded along with engine Displacement (in liters), type of Fuel used, and type of Drive train (All-Wheel, Front Wheel, or Rear Wheel). The output (with some deletions) for a multiple regression to predict Hwy MPG5. Type the regression equation based on this data for the model Hwy MPG vs. Drive with Front Wheel as the reference category. Hwy MPG = 35.827 - 3.242(Displacement) + 0.0 (Fuel Premium) + 2.135 (Fuel M 0.0 (Drive A) + 3.075 (Drive F) 6. In the regression from Question 5, interpret the slope of All Wheel Drive. 7. Type the regression equation based on this data for the model Hwy MPG vs. Drive with Rear Wheel as the reference category. Hwy MPG = 35.827 - 3.242(Displacement) + 0.0 (Fuel Premium) + 2.135 (Fuel Regular) + 3.075 (Drive F) + 3.31] (Drive R) 8. In the regression from Question 7, interpret the slope of All Wheel Drive