A trucking company considered a multiple regression model for relating thedependent variable y = total daily travel time for one of its drivers (hours) tothe predictors x, = distance traveled (miles) and x, = the number ofdeliveries made. Suppose that the model equation isY = -0.800 + 0.060x, + 0.900x2 + €(a) What is the mean value of travel time when distance traveled is 50miles and four deliveries are made?5.8v hr(b) How would you interpret ß1= 0.060, the coefficient of the predictorX1?o When the number of deliveries is held fixed, the average changein travel time associated with a one-mile (i.e. one unit) increase indistance traveled is 0.060 hours.O The total daily travel time increases by 0.060 hours when thedistance traveled increases by 1.O When the number of deliveries is constant, the average change intravel time associated with a ten-mile (i.e. one unit) increase indistance traveled is 0.060 hours.O The average change in travel time associated with a one-mile (i.e.one unit) increase in distance traveled is 0.060 hours.What is the interpretation of ß, = 0.900?O The average change in travel time associated with one extradelivery is 0.900 hours.o When the distance traveled is held fixed, the average change intravel time associated with one extra delivery is 0.900 hours.O When the distance traveled is constant, the change in travel timeassociated with one delivery is 0.900 hours.O The total daily travel time increases by 0.900 hours with one extradelivery.(c) If o = 0.5 hour, what is the probability that travel time will be atmost 6 hours when four deliveries are made and the distance traveled is50 miles? (Round your answer to four decimal places.)

Solution: The estimated regression equation is y^=-0.800+0.060×x1+0.900×x2

A trucking company considered a multiple regression model for relating the dependent variable y = total daily travel time for one of its drivers (hours) to the predictors x1 = distance traveled (miles) and x2 = the number of deliveries made. Suppose that the model equation is Y = -0.800 + 0.060x, + 0.900x2 + E

A trucking company considered a multiple regression model for relating the dependent variable y = total daily travel time for one of its drivers (hours) to the predictors x1 = distance traveled (miles) and x2 = the number of deliveries made. Suppose that the model equation is Y = -0.800 + 0.060x, + 0.900x2 + E

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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