Question: 9. With the gasoline time series data from Table 17.1, show the exponential smoothing forecasts using a = .1. a. Applying the MSE measure of

9. With the gasoline time series data from Table 17.1, show the exponential smoothing forecasts using a = .1.

a. Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of a = .1 or a = .2 for the gasoline sales time series?

b. Are the results the same if you apply MAE as the measure of accuracy?

c. What are the results if MAPE is used?

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