Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week Sales (1,000s of gallons) 1 18 2 22 3 15 4 24 5 18 6 15 7 21 8 19 9 21 10 20 11 16 12 22 (a) Show the exponential smoothing forecasts using α = 0.1, and α = 0.2. Exponential Smoothing Week α = 0.1 α = 0.2 13 (b) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of α = 0.1 or α = 0.2 for the gasoline sales time series? An smoothing constant provides the more accurate forecast, with an overall MSE of . (c) Are the results the same if you apply MAE as the measure of accuracy? An smoothing constant provides the more accurate forecast, with an overall MAE of . (d) What are the results if MAPE is used? An smoothing constant provides the more accurate forecast, with an overall MAPE of .