September / September 14 September 21 September 28 October 5 emand for the week of October 12 using a 3-week moving aver d your response to two decimal places). weighted moving average, with weights of 0.10, 0.30, and 0.60, cent week, the forecasted demand for the week of October 12 sponse to two decimal places and remember to use the weight - the largest weight applies to most recent period and smallest -iod.) 372 408 381 371 378 demand for the week of August 31 is 350 and α = 0.30, using ng, develop the forecast for each of the weeks with the known the week of October 12 (round your responses to two decimal Week Of Pints Used gust 31 Otember 7 350 372 100 Forecast for this Date 350 350.00 050
September / September 14 September 21 September 28 October 5 emand for the week of October 12 using a 3-week moving aver d your response to two decimal places). weighted moving average, with weights of 0.10, 0.30, and 0.60, cent week, the forecasted demand for the week of October 12 sponse to two decimal places and remember to use the weight - the largest weight applies to most recent period and smallest -iod.) 372 408 381 371 378 demand for the week of August 31 is 350 and α = 0.30, using ng, develop the forecast for each of the weeks with the known the week of October 12 (round your responses to two decimal Week Of Pints Used gust 31 Otember 7 350 372 100 Forecast for this Date 350 350.00 050
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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