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Question 8 (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 deliveries variable. Predictor Coef Stdev t-ratio P Constant -4.209 7.261 -0. 58 0 .5729 distance 0 . 005 0. 018 0 . 29 0. 7757 deliveries 0 . 642 0. 327 1. 96 0 . 07332 3 = 6. 659 R-sq = 30.18 R-sq (adj ) - 18 . 45% Analysis of Variance SOURCE DF SS MS F P Regression 2 229 . 14 114 . 57 2 . 58 0. 1166 Error 12 532 . 12 44 . 34 Total 14 761. 26 1) When deliveries increases by 1 unit, time decreases by 0.642 hours, holding all other variables constant. 2) We do not have enough information to say. 3) When deliveries decreases by 1 unit, time increases by 0.642 hours, holding all other variables constant. 4) When deliveries increases by 0.642 units, time increases by 1 hour, holding all other variables constant. 5) When deliveries increases by 1 unit, time increases by 0.642 hours, holding all other variables constant