With the gasoline time series data from the given table, show the exponential smoothing forecasts using a = 0.1. GASOLINE SALES TIME SERIES Week 1 2 3 4 5 6 7 8 9 10 11 12 Sales (1000s of gallons) 17 21 19 23 18 16 20 18 22 20 15 22 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 two decimal places. a = 0.1 a = 0.2 MSE 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 two decimal places. a = 0.1 a = 0.2 MAE 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. Q = 0.1 a = 0.2 MAPE Prefer