M5 1. Mariah Henderson is a WCU student who has just finished her junior year. The data summarizes her grade point average (GPA) for each of the last 9 semesters. a) Compute the forecasts using the nave forecasting method. What is the MAD? b) Compute the forecast for Senior Year - Fall Semester using the nave forecasting method. c) Compute the forecasts using the two-period moving average. What is the MAPE? d) Compute the forecast for Senior Year - Fall Semester using the two-period moving average. e) Compute the forecasts using the three-period weighted moving average using weights of 0.4, 0.35, and 0.25. What is the MSE? f) Compute the forecast for Senior Year - Fall Semester using the three-period weighted moving average using weights of 0.4, 0.35, and 0.25. g) Compute the forecasts using exponential smoothing with a smoothing constant of 0.25 and a forecast for First Year - Fall Semester of 2.60. What is the MAPE? h) Compute the forecast for Senior Year - Fall Semester using exponential smoothing with a smoothing constant of 0.25 and a forecast for First Year - Fall Semester of 2.60. i) Create a tracking signal plot for the two-period moving average data. Does the chart indicate that this method accurately predicts the data (does the data fall within 4 MAD)? j) Comparing one of the error measurements (MAD, MSE, or MAPE)- which is the best forecasting method? Which is the worst forecasting method?