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? Year Semes GPA Fall 2.65 First Yea Winte 2.93 Spring 2.87 Fall 3.05 Sophom Winte 3.42 Spring 3.29 Fall 3.3 Junior Winte 3.6 Spring 3.25