3. Below are the weights of thirteen popular car models (in thousands of pounds) and highway efficiency (in miles per gallon). Weight 3.5 2.6 3.2 3.9 4.0 3.1 3.2 3.2 2.4 3.2 2.3 2.5 4.0 MPG (y) 30 32 30 24 26 30 33 27 37 32 37 34 26 38 32 MPG 27 21 15 2 2.5 3 3.5 Weight (thousands of pounds) The least squares regression line (line of best-fit) for this data is: y = 50.54 - 6.26x a. For cars that weighs 2,600 pounds (2.6 thousand), what is the prediction for its' highway efficiency? b. In the equation, what does 50.54 mean in terms of car weight and efficiency? c. In the equation, what does -6.26 mean in terms of car weight and efficiency? e. Speak to how extrapolationg beyond this data could be problematic. Consider both larger and smaller values for x