Because seasonal effects can confound trend analysis, it is important to make sure that the data is free of seasonality prior to using regression models to analyze trend.

Question

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Seasonal effects can introduce patterns into the data that are not related to the underlying trend, which can lead to misleading or incorrect interpretations of regression model results. Therefore, it is important to remove any seasonal effects before performing trend analysis using regression.

Because Seasonal Effects Can Confound Trend Analysis, It Is Important