Question: With the gasoline time series data from the given table, show the exponential smoothing forecasts using a=0.1. GASOLINE SALES TIME SERIES begin{tabular}{cc} hline Week &

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With the gasoline time series data from the given table, show the exponential smoothing forecasts using a=0.1. GASOLINE SALES TIME SERIES \begin{tabular}{cc} \hline Week & Sales (1000s of gallons) \\ 1 & 17 \\ 2 & 21 \\ 3 & 19 \\ 4 & 23 \\ 5 & 18 \\ 6 & 16 \\ 7 & 20 \\ 8 & 18 \\ 9 & 22 \\ 10 & 20 \\ 11 & 15 \\ 12 & 22 \\ \hline \end{tabular} a. Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of a=0.1 or a=0.2 for the gasoline sales time series? Do not round your interim computations and round your final answers to three decimal places. Prefer: 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. Prefer: c. What are the results if MAPE is used? Do not round your interim computations and round your final answers to two decimal places. Prefer

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