Question: Problem 6-09 With the gasoline time series data from the given table, show the exponential smoothing forecasts using a = 0.1. GASOLINE SALES TIME SERIES

Problem 6-09 With the gasoline time series data

Problem 6-09 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 Sales (1000s of gallons) 17 21 19 23 18 16 20 18 22 20 15 22 7 8 9 10 11 12 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, 0.0.1 G = 0.2 MSE 8.4816 x 8.23 x Prefer: 0.2 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. = 0.1 a a = 0.2 MAE 2.35 X 2.38 x Prefer: 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 = 0.1 = 0.2 | MAPE 11.87 X % 12.28 X % Prefer: 0.1

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