An attraction of MAPE as a measure of fit is its simple interpretation.
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Q28: Moving averages are often used for making
Q29: The exponential model would be attractive for
Q30: A higher value of the smoothing constant
Q31: Regression analysis can be used for forecasting
Q32: In exponential smoothing, using α = .20
Q34: Monthly seasonal factors should be adjusted so
Q35: A centered moving average provides good forecasts
Q36: The MAD measures the average absolute size
Q37: Using the first observed data value is
Q38: Quarterly seasonal factors will sum to 4.
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