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The residuals of a model are the actual values minus the predicted values. Many statistical models make assumptions about the error, which is estimated by the residuals.
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Controlling for categorical variables before correlation using residuals?
I’ve read about a way to do this by correlating residuals instead of the original data, however in the example that was used the control variable was continuous, so now I’m wondering if this can be done … And if it can, then what test would I use to produce the residuals? …