With a simple moving average, the number of periods used has a major impact on its ability to smooth out fluctuation but does not have much impact on its forecasting ability.
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Q40: Regression is a functional relationship between two
Q41: A moving average can be useful for
Q42: Exponential smoothing models are not very accurate.
Q43: The greater the ability of a forecasting
Q44: There is one type of seasonal variation.
Q46: In time series data depicting demand, which
Q47: Exponential smoothing models require minimal data storage.
Q48: Linear regression works both for time series
Q49: When average, trend, and seasonality are removed
Q50: Forecast error is the same as residuals.
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