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.When deliveries increases by 0.805 units, time increases by 1 hour, holding all other variables constant. 2) We do not have enough information to say. 3) When deliveries increases by 1 unit, time decreases by 0.805 hours, holding all other variables constant. 4) When deliveries decreases by 1 unit, time increases by 0.805 hours, holding all other variables constant. 5) When deliveries increases by 1 unit, time increases by 0.805 hours, holding all other variables constant. PredictorConstantdistancedeliveriess = 6.742Analysis of VarianceSOURCERegressionErrorTotalCoef-7.6370.9730.805Stdev10.4750.0190.375R-sq 99.62%DF21214SS144434.66545.53144980.19t-ratio-0.7351.42.15MSR-sq (adj) = 99.56%72217.33р0.4845.461.933e-150.05304F1588.56р<0.0001

It is required to identify the correct interpretation of the slope of the deliveries variable, using…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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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.

When deliveries increases by 0.805 units, time increases by 1 hour, holding all other variables constant.