The moving-average forecasting method is a very good one when conditions remain pretty much the same over the time period being considered.
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Q12: The averaging method uses all the data
Q13: The difference between a forecast and what
Q14: The mean absolute deviation is more sensitive
Q15: Removing the seasonal component from a time-series
Q16: The seasonal factor for any period of
Q18: Exponential smoothing with trend requires selection of
Q19: An advantage of the exponential smoothing forecasting
Q20: The last-value forecasting method is most useful
Q21: The Delphi method involves the use of
Q22: Forecasting techniques such as moving-average, exponential smoothing,
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