Question: With the gasoline time series data from the given table, show the exponential smoothing forecasts using = 0.1. GASOLINE SALES TIME SERIES Week 123 2

With the gasoline time series data from the given table, show the exponential smoothing forecasts using = 0.1.

With the gasoline time series data from the given

GASOLINE SALES TIME SERIES Week 123 2 3 4 5 6 OTB9OHS 7 8 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 three decimal places. IMSE Prefer: 0.2 MAE 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 three decimal places. MAPE a = 0.1 Prefer: 9.252 0.1 0.2 a = 0.1 c. What are the results if MAPE is used? Do not round your interim computations and round your final answers to two decimal places. a = 0.2 a = 0.1 8.982 % a = 0.2 a = 0.2 %

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