Assume that the initial forecast for February is 65.0 (in $ thousands) and the initial trend adjustment is 0. The smoothing constants selected are a = 0.10 and B=0.2. Using trend-adjusted exponential smoothing, the forecast for the architectural firm's August income thousand dollars (round your response to two decimal places). The mean squared error (MSE) for the forecast developed using trend-adjusted exponential smoothing = (thousand dollars)2 (round your response to two decimal places).
Assume that the initial forecast for February is 65.0 (in $ thousands) and the initial trend adjustment is 0. The smoothing constants selected are a = 0.10 and B=0.2. Using trend-adjusted exponential smoothing, the forecast for the architectural firm's August income thousand dollars (round your response to two decimal places). The mean squared error (MSE) for the forecast developed using trend-adjusted exponential smoothing = (thousand dollars)2 (round your response to two decimal places).
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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Transcribed Image Text:Income at the architectural firm of Spraggins and Yunes for the period February to July was as follows:
Month
Income ($000's)
February March
70.0
68.5
The mean squared error (MSE) for the forecast developed using trend-adjusted exponential smoothing =
April
64.8
May
71.7
June
71.3
July
72.8
Assume that the initial forecast for February is 65.0 (in $ thousands) and the initial trend adjustment is 0. The smoothing constants selected are α = 0.10 and ß = 0.2. Using trend-adjusted exponential smoothing, the forecast for the architectural firm's August
income = thousand dollars (round your response to two decimal places).
(thousand dollars)² (round your response to two decimal places).
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