Suppose that we have found that the least squares regression line for this data set is Y = -1.11X + 68.17, where X represents the weight of the cars in hundreds of pounds and Y represents the mpg rating. 70 60 50 40 MPG 30 20 10 10 20 30 40 50 60 Weight (100 Lbs) Notice that this regression model predicts that a car weighing 4200 pounds has a mpg rating of 21.55 mpg. Would it be appropriate to use this model to predict the fuel efficiency rating of a car weighing 7000 pounds? Why or why not? a. Yes, we can just plug X=70 into the equation and compute the predicted mpg rating. b. No. The heaviest car in the data set weighs approximately 5500 pounds (and the second heaviest weighs around 4500 pounds). This would be extrapolationg too far out from the data