Question Help An engineer wants to determine how the weight of a car, x, affects gas mileage, y. The following data represent the weights of various cars and their miles per gallon. D A 2545 3070 3375...

Extracted text: Question Help An engineer wants to determine how the weight of a car, x, affects gas mileage, y. The following data represent the weights of various cars and their miles per gallon. D A 2545 3070 3375 3805 4250 32.6 Car B Weight (pounds), x Miles per Gallon, y 24.5 24.6 24 18.2 O E. It is not appropriate to interpret the y-intercept because it does not make sense to talk about a car that weighs 0 pounds. (c) Predict the miles per gallon of car D and compute the residual. Is the miles per gallon of this car above average or below average for cars of this weight? The predicted value is miles per gallon. (Round to two decimal places as needed.) The residual is miles per gallon. (Round to two decimal places as needed.) Is the value above or below average? It is below average. It is above average. (d) Draw the least-squares regression line ch the scatter diagram of the data and label the residual. Which of the following represents the data with the residual shown in red? OA. OB. Oc. OD. 34- 4400- 4400 173 2400 24004 17- 2400 Weight 2400 17 MPG 4400 34 17 Weight 4400 G 34 MPG