Multiple Regression: Adding on to the previous findings, we are now going to predict the retail price of cars. In this analysis, we are looking to predict retail price based on highway gas mileage, number of cylinders, and wheelbase. The approach were using is multiple regression models, as we are predicting the retail price of a car with 4 cylinders, highway gas mileage of 30 MPG, and a wheelbase of 103 inches. Why is multiple regression appropriate? The data for retail price, highway MPG, cylinders, and wheelbase was extracted from the cars file and used in the spreadsheet. To answer this question, we have to look at the prediction interval that was generated. Why is the prediction interval important? What are your findings for this analysis and what is the predicted retail price?