Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week Sales (1,000s of gallons) 1 2 7 8 9 10 11 12 Week 13 A2822822228 0 0.1 17 21 19 23 18 16 20 18 20 (a) Show the exponential smoothing forecasts using a 0.1, and a 0.2. Exponential Smoothing 15 a=0.2 (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 answersmoothing 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 answersmoothing constant provides the more accurate forecast, with an overall MAE of (d) What are the results if MAPE is used? An-Select your answersmoothing constant provides the more accurate forecast, with an overall MAPE of
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week Sales (1,000s of gallons) 1 2 7 8 9 10 11 12 Week 13 A2822822228 0 0.1 17 21 19 23 18 16 20 18 20 (a) Show the exponential smoothing forecasts using a 0.1, and a 0.2. Exponential Smoothing 15 a=0.2 (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 answersmoothing 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 answersmoothing constant provides the more accurate forecast, with an overall MAE of (d) What are the results if MAPE is used? An-Select your answersmoothing constant provides the more accurate forecast, with an overall MAPE of
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section13.7: Exponential Smoothing Models
Problem 29P: The file P13_29.xlsx contains monthly time series data for total U.S. retail sales of building...
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