Increasing the number of data points included in a moving average will result in a forecast that is smoother but less responsive to changes.
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Q1: Forecasts based on time-series (historical)data are referred
Q4: The Delphi approach involves the use of
Q12: The naive forecast is limited in its
Q16: Forecast accuracy tends to increase as the
Q19: Forecasting techniques generally assume that the same
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Q22: MAD is equal to the square root
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