A trucking company considered a multiple regression model for relating the dependent variable total daily travel time for one of its drivers (hours) to the predictors distance traveled (miles) and the number of deliveries of made. After taking a random sample, a multiple regression was performed and the output is given below. What is the multiple regression equation? Predictor Coef Stdey t ratio P Constant -8. 952 7. 404 -1.21 0. 2499 digcanco 0.010 0. 013 61 . 62 2.207e-16 deliveries D- 698 0.279 2.5 0 . 02768 5.887 R-8q - 99.694 R-sq (adj) = 99.634 Analysis of Variance SOURCE DF 55 HS P P Regression 2 131721 . 49 65860 . 75 1900 . 14 CO . DOO1 Error 12 415 . 87 34.56 Total 14 132137 . 36 1) (time) = 0.818*(distance) + 0.698*(deliveries) O 2) (time) = 0.818*(deliveries) + 0.698*(distance) - 8.952 ( 3) (time) = 0.818*(distance) + 0.698*(deliveries) - 8.952 ( 4) We do not have enough information to determine the regression equation. 5) (time) = 0.013*(distance) + 0.279*(deliveries) - 8.952