Question: We use a moving average forecast method to develop foreceasts of sales / demand . Based on an analysis of outliers in our sales data,

We use a moving average forecast method to develop foreceasts of sales/demand. Based on an analysis of outliers in our sales data, we surmise that most outliers were caused by random events. Should we go 'long' or 'short' (take more or fewer periods) in our determination of the # of periods to use for computing our moving average forecasts?

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