A top car dealership in Southern California (Toyota of course!) wants to forecast demand for the next month using historic data. Up to this point the dealership manager, Bob, has been using a nave forecast only. You recommend an analysis of alternative techniques to improve forecast accuracy. Use the demand data below. Make 3 different forecasts (naive, exponential smoothing with alpha =.2, and 3-month weighted average), calculate MAD, MSE, and MAPE, and make a recommendation on which forecast would be best and why. What is the November forecast using the best forecast method