J. 19. Use HoltWinter's additive method to create a seasonal model that minimizes the MSE for the data set. Use Solver to determine the optimal values of a, B, and v. a. What are the optimal values of at, B, and "y? b. Prepare a line graph comparing the predictions from this method against the original data. c. What are the forecasts for each of the next 6 months using this technique? 20. Use Holt-Mnter's multiplicative method to create a seasonal model that minimizes the MSE for the data set. Use Solver to determine the optimal values of or, B, and v. a. What are the optimal values of at, B, and 'y? b. Prepare a line graph comparing the predictions from this method against the original data. c. What are the forecasts for each of the next 6 months using this technique? 21. Use regression analysis to fit an additive seasonal model with linear trend to the data set. a. What is the estimated regression function? 13. Interpret the R2 value for your model. c. Interpret the parameter estimates corresponding to the indicator variables in your model. d. Prepare a line graph comparing the linear trend predictions against the original data. e. What are the forecasts for each of the next 6 months using this technique