Concept explainers
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 = −.800 + .060x1 + .900x2 + ϵ
a. What is the
b. How would you interpret β1= .060, the coefficient of the predictor x1? What is the interpretation of β2 = .900?
c. If σ = .5 hour, what is the
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