Weighted moving average and exponential smoothing both account for trends in the data being forecasted.
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Q7: A moving average filters out the effects
Q8: Seasonal demand is measured in time periods
Q9: Random variation is caused by chance events
Q10: Seasonal patterns can be exhibited over a
Q11: Preparing an accurate forecast for an aggregated
Q13: Fashion and economic conditions produce cycles.
Q14: Forecasting becomes more difficult the farther a
Q15: A time-series analysis considers cycles,trends,and seasonal variation
Q16: Sophisticated forecasting models using massive computing power
Q17: Companies must have perfect forecasts for planning
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