Take a look at Chapter 18 Data Set 3 (ch18ds3.csv), where number of home sales (Number_ Homes_Sold) is being predicted by years in the business (Years_In_Business) and level of education in years (Level_Of_Education). Why is level of education such a poor contributor to the overall prediction (using both years in the business and level of education combined) of number of homes sold? What’s the best predictor and how do you know? (Hint: These are sort of trick questions. Before you go ahead and analyze the data, look at the raw data in the file for the characteristics you know are important for one variable to be correlated with another.)