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Question 13 (1 point) 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 7.06 9. 099 0. 78 0. 4528 distance 1. 525 0 . 019 80 . 52 8. 981e-18 deliveries 0. 139 0. 285 0 . 49 0. 6341 S = 7.076 R-sq = 99.828 R-sq (adj) = 99. 798 Analysis of Variance SOURCE DF SS MS E P Regression 2 335884. 91 167942 .46 3354 .05 40 . 0001 Error 12 600 . 86 50. 07 Total 14 336485 . 77 ( 1) When distance increases by 1 miles, time increases by 1.525 hours, holding all other variables constant. ( 2) When distance increases by 1.525 miles, time increases by 1 hour, holding all other variables constant. ( 3) When distance decreases by 1 miles, time increases by 1.525 hours, holding all other variables constant. ( 4) We do not have enough information to say. (5) When distance increases by 1 miles, time decreases by 1.525 hours, holding all other variables constant