Removing the seasonal component from a time-series can be accomplished by dividing each value by its appropriate seasonal factor.
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Q10: The mean absolute deviation is the sum
Q11: When no historical sales data is available,
Q12: The averaging method uses all the data
Q13: The difference between a forecast and what
Q14: The mean absolute deviation is more sensitive
Q16: The seasonal factor for any period of
Q17: The moving-average forecasting method is a very
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
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