A trucking company considered a multiple regression model for relating the dependent variable of 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. Interpret the slope of the distance variable. Predictor Coef Stdev t ratio P Constant -9. 253 7. 120 -1.1 0.2106 distance 1.10 0.014 01.09 7. 302e-10 deliveries D. 265 0.283 0. 91 0. 3651 5 - 6.951 R-aq - 99. 824 R-sq (adj) = 99.794 Analysis of Variance SOURCE 55 MS P P Regression 2 288032 . 9 144016.45 3355 . 64 CO . DO01 Error 12 515.01 42.92 Total 14 288547 . 91 (1) When distance increases by 1 miles, time decreases by 1.18 hours, holding all other variables constant. (2) When distance increases by 1 miles, time increases by 1.18 hours, holding all other variables constant. (3) When distance decreases by 1 miles, time increases by 1.18 hours, holding all other variables constant. ( 4) We do not have enough information to say. ()5) When distance increases by 1.18 miles, time increases by 1 hour, holding all other variables constant