The data in worksheet contains information on 11 variables for n = 93 makes and models of automobiles. It is desired to construct a model to predict MPG Highway. 10 possible predictor variables was considered. They are 1. Horsepower, 2. Fuel tank, 3. Passengers, 4. Length, 5. Wheelbase, 6. Width, 7. U-Turn Space, 8. Rear seat, 9. Luggage and 10. Weight. Fit a parsimonious model, i.e., a model involving as few variables as possible, provided none of the omitted variables would add significantly to the predictive capability of the model.