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t 4 - Time Series Analysis Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week >> Sales (1,000s 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 (a) Show the exponential smoothing forecasts using a = 0.1, and a = 0.2. Exponential Smoothing Week a = 0.1 a = 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 - smoothing constant provides the more accurate forecast, with an overall MSE of ( 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-smoothing constant provides the more accurate forecast, with an overall MAPE of Select your answer a = 0.1 a = 0.2 ws ARA