Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week Sales (1,000s of gallons) 18 N 22 15 26 18 17 21 Co 19 22 10 18 11 17 12 21 (a) Show the exponential smoothing forecasts using a = 0.1, and a = 0.2. Exponential Smoothing Week 0 = 0.1 0 = 0.2 13 (b) 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? An - Select your answer - v 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 - Select your answer - |smoothing constant provides the more accurate forecast, with an overall MAE of (d) What are the results if MAPE is used? An - Select your answer - v smoothing constant provides the more accurate forecast, with an overall MAPE of