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Residual analysis is the process of analyzing a website's traffic and measuring the effectiveness of an ad campaign. It allows marketers to measure the impact of their ads on sales and conversions.

Residual analysis is a technique used in data science where the researcher looks for patterns that are hidden in the data. It is used to find out if there are any residuals of variables that have been removed from a model.

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