The most common measure of error is called squared error measure (MSE).
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Q26: The standard deviation of the error distribution
Q27: The only forecasting error that can occur
Q28: When actual demand results are known,the various
Q29: Usually,stronger forecasts can be obtained if both
Q30: In the weighted moving average,the biggest weights
Q32: A causal factor common to both x
Q33: When using regression analysis the simplest assumption
Q34: MAD is simply the sum of all
Q35: When considering a linear regression analysis,the least-squares
Q36: MAPE reveals poor forecasts.
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