with the gasoline time series data from table 15.1, show the exponential smoothing forecasts… 1 answer below »

With the gasoline time series data from the given table, show the exponential smoothing forecasts using = 0.1.

(a) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of = 0.1 or = 0.2 for the gasoline sales time series? Do not round your interim computations and round your final answers to three decimal places. = 0.1 = 0.2 MSE Prefer: – Select your answer -0.10.2 Item 3 (b) Are the results the same if you apply MAE as the measure of accuracy? Do not round your interim computations and round your final answers to three decimal places. = 0.1 = 0.2 MAE Prefer: – Select your answer -0.10.2 Item 6 (c) What are the results if MAPE is used? Do not round your interim computations and round your final answers to two decimal places. = 0.1 = 0.2 MAPE % % Prefer: – Select your answer -0.10.2
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