4. Using the following dataset (Show your work.): Time Period Demand 27 24 19 22 27 July August September October November December January a. Plot the data. How do you interpret the nature of the variation in the graph Create a series of forecasts for October to January with the Nave method. Create a series of forecasts for October to January with the MA3 method. b. C. d. Create a series of forecasts for October to January with the WMA3 method, with weights 0.5, 0.3 and 0.2. For each of the three forecast methods, calculate the error summary statistics Mean Bias, MAD, MSE and MAPE. f. Which forecast method forecasts the best? 22 18 e.

4. Ucino the following dataset (Show your work.): a. Plot the data. How do you interpret the nature of the variation in the graph b. Create a series of forecasts for October to January with the Nae method. c. Create a series of forecasts for October to January with the MA3 method. d. Create a series of forecasts for October to January with the WMA3 method, with weights 0.5,0.3 and 0.2 . e. For each of the three forecast methods, calculate the error summary statistics Mean Bias, MAD, MSE and MAPE. f. Which forecast method forecasts the best