Seasonal demand is measured in time periods of less than a year.
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Q3: A naïve forecast considers several periods of
Q4: In exponential smoothing,a small value of alpha
Q5: Using many periods of data in a
Q6: Cyclical factors are similar to seasonal factors,but
Q7: A moving average filters out the effects
Q9: Random variation is caused by chance events
Q10: Seasonal patterns can be exhibited over a
Q11: Preparing an accurate forecast for an aggregated
Q12: Weighted moving average and exponential smoothing both
Q13: Fashion and economic conditions produce cycles.
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