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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

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 ß₁ = .060, the coefficient of the predictor x₁? What is the interpretation of ß₂ = .900?

c. If σ = .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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