A trucking company considered a multiple regression model for relating the dependent variable y = total daily

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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 = 2.800 + .060x1 + .900x2 + e
a. What is the mean value of travel time when distance traveled is 50 miles and three deliveries are made?
b. How would you interpret β1 = .060, the coefficient of the predictor x1. What is the interpretation of β2 = .900?
c. If s = .5 hour, what is the probability that travel time will be at most 6 hours when three deliveries are made and the distance traveled is 50 miles?
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