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 equation is (time) = 0.033*(distance) + 0.857*(deliveries) - 1.235. Suppose for a given driver's day, he is scheduled to drive 269 miles and make 12 stops. Suppose it took him 12.458 hours to complete the trip. What is the residual based on the regression model?

Question 11 options:

1)

We do not know the observations in the data set, so we cannot answer that question.

2)

-251.074

3)

5.468

4)

-6.703

5)

-5.468