If a time series is rather smooth,we would use a large value for the smoothing constant α in order to give more weight to the most recent observation.

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If a time series is rather smooth, it means that there are not many fluctuations or rapid changes in the data. In this case, a smaller value of the smoothing constant α would be appropriate to give more weight to the past observations and create a stable forecast. If a large value of α is used, the forecast would be heavily influenced by the most recent observation and may not accurately reflect the underlying trend or pattern in the data.

If a Time Series Is Rather Smooth,we Would Use a Large