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Unformatted text preview: a. Both tend to lag changes in a time series b. Both smooth data c. Both involve fairly simple calculations d. Both can be used to obtain seasonal index numbers e. Both are easy to interpret 5. The cumulative forecast error is important for determining the: a. Mean squared error b. Bias in forecast error c. The trend equation d. Mean absolute percent deviation e. Control limits 6. Which of the following alpha values would cause a simple exponential smoothing forecast to respond to previous forecasting errors the quickest? a. b. 0.01 c. 0.10 d. 0.20 e. 0.30...
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- Spring '10