In the context of Seasonal ARIMA models, 'q' represents the order of the moving average component. It defines the number of lagged forecast errors in the prediction equation. Understanding 'q' is essential as it helps in capturing the autocorrelation in residuals, allowing for more accurate forecasts when seasonal patterns are present.
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