The weight of a car (in pounds) can influence the mileage (in mpg) that the car can obtain. A random sample of 16 cars was taken and the weight and mileage were recorded for each. The data are in the table below. X, weight (in pounds) Y, mileage (in mpg) 3500 28 4000 23.6 2750 36.3 3500 28 3000 32.2 4000 23.6 3500 31.3 3500 28 2250 38.9 3000 32.2 2500 40.9 3000 31.4 3500 31.3 2250 41.1 4000 23.1 5500 13.2 f) Should you use the regression equation to predict the mileage of a randomly selected car that has a weight of 3279 pounds? yes, this X-value is between Xmin and Xmax Should you use the regression equation to predict the mileage of a randomly selected car that has a weight of 7486 pounds? no, this X-value is not between Xmin and Xmax Looking at your answers above, predict the mileage for the one above that it made sense to do so. Make sure you use the stored equation and not the rounded equation from part c. Round final answer to 3 decimal places. The predicted mileage for a randomly selected car that has a weight of 32790 pounds is 89.156 x mpg g) Compute the residual for the following ordered pair in the data: (3500, 31.3). Make sure you use the stored equation and not the rounded equation from part c. Round final answer to 3 decimal places. The residual for the car with a weight of 3500 pounds is Interpret what this value means in the context of this problem. pound The actual mileage of a randomly selected car with a weight of 3500 pounds is mpg GIG.. 1 above what was predicted.