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 23\ 3 14\ 4 25\ 5 17\ 6 16\ 7 22\ 8 19\ 9 21\ 10 19\ 11 17\ 12 23\ (a) Show the exponential smoothing forecasts using \\\\alpha = 0.1, and \\\\alpha = 0.2.\ Exponential\ Smoothing\ Week \\\\alpha = 0.1 \\\\alpha = 0.2\ 13 \ (b) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of \\\\alpha = 0.1 or \\\\alpha = 0.2 for the gasoline sales time series?\ An \ - Select your answer-\ 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-\ smoothing constant provides the more accurate forecast, with an overall MAPE of \ .