The difference between a forecast and what turns out to be the true value is called the mean absolute deviation.
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Q8: The moving-average forecasting method assigns equal weights
Q9: A smoothing constant of 0.1 will cause
Q10: The mean absolute deviation is the sum
Q11: When no historical sales data is available,
Q12: The averaging method uses all the data
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
Q17: The moving-average forecasting method is a very
Q18: Exponential smoothing with trend requires selection of
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