(e) Use a = 0.4 to compute the exponential smoothing values for the time series. Time Series Week Value 1 19 2 12 3 17 4 10 5 18 6 14 Forecast Does a smoothing constant of 0.2 or 0.4 appear to provide more accurate forecasts based on MSE? Explain. The exponential smoothing using a = 0.4 provides a better forecast since it has a smaller MSE than the exponential smoothing using a = 0.2. The exponential smoothing using a = 0.4 provides a better forecast since it has a larger MSE than the exponential smoothing using a = 0.2. The exponential smoothing using a = 0.2 provides a better forecast since it has a smaller MSE than the exponential smoothing using α = 0.4. The exponential smoothing using a = 0.2 provides a better forecast since it has a larger MSE than the exponential smoothing using a = 0.4.
(e) Use a = 0.4 to compute the exponential smoothing values for the time series. Time Series Week Value 1 19 2 12 3 17 4 10 5 18 6 14 Forecast Does a smoothing constant of 0.2 or 0.4 appear to provide more accurate forecasts based on MSE? Explain. The exponential smoothing using a = 0.4 provides a better forecast since it has a smaller MSE than the exponential smoothing using a = 0.2. The exponential smoothing using a = 0.4 provides a better forecast since it has a larger MSE than the exponential smoothing using a = 0.2. The exponential smoothing using a = 0.2 provides a better forecast since it has a smaller MSE than the exponential smoothing using α = 0.4. The exponential smoothing using a = 0.2 provides a better forecast since it has a larger MSE than the exponential smoothing using a = 0.4.
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 26P: The file P13_26.xlsx contains the monthly number of airline tickets sold by the CareFree Travel...
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