Please answer using the footnote modifications i am posting before the problem.

1) Problem 12.1 (p. 530) Part (a) is as it is in the problem Part (b) will be replaced by the following: "Compute 3 month weighted moving average forecast with weights 0.5 for the most recent month/data, 0.3 for the next most recent data and 0.2 for the distant data. Part (c) will be replaced by the following: "Compute exponentially smoothed forecast with a = 0.3 Part (d) will be added as: Compare the three forecasts in (a), (b) and (c) above using MAD, and indicate which seems to be the most accurate. 12.1. The Hartley-Davis motorcycle dealer in the Minneapolis-St. Paul area wants to be able to forecast accurately the demand for the Roadhog Super motorcycle during the next month. From sales records, the dealer has accumulated the data in the following table for the past year. MONTH MOTORCYCLE SALES January February March April May June July August September October November December 16 a. Compute a three-month moving average forecast of demand for April through January (of the next year). b. Compute a five-month moving average forecast for Junc through January c. Compare the two forecasts computed in parts a and busing MAD. Which one should the dealer use for January of the next year