For a time series with relatively little random variability,we should use larger values of the smoothing constant to provide the advantage of allowing the forecasts to react more quickly to changing conditions.

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Quizplus · Accepted Answer

In time series with little random variability, larger values of the smoothing constant allow forecasts to more rapidly adjust to changes, as the series is less prone to random fluctuations that could lead to overreaction from the model.

For a Time Series with Relatively Little Random Variability,we Should