How should a single spike in volume be treated in forecasting?

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Multiple Choice

How should a single spike in volume be treated in forecasting?

Explanation:
Spikes like this are treated as anomalies or random noise rather than a lasting change in the underlying process. Forecasting aims to capture stable patterns such as trend and seasonality, so a one-off blip in volume shouldn’t shift the forecast. If you incorporated the spike into the forecast, or used it to adjust the mean or the moving average, you’d overweight that outlier and bias future predictions upward. By ignoring the spike, the model remains anchored to the true, persistent patterns in the data unless there’s evidence the spike represents a real, sustained shift.

Spikes like this are treated as anomalies or random noise rather than a lasting change in the underlying process. Forecasting aims to capture stable patterns such as trend and seasonality, so a one-off blip in volume shouldn’t shift the forecast. If you incorporated the spike into the forecast, or used it to adjust the mean or the moving average, you’d overweight that outlier and bias future predictions upward. By ignoring the spike, the model remains anchored to the true, persistent patterns in the data unless there’s evidence the spike represents a real, sustained shift.

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