A residual is the difference between the observed value of a dependent variable and the value predicted by a regression model. It represents the portion of the data that is not explained by the model, indicating how well the model fits the data. Analyzing residuals helps in assessing the assumptions of the regression analysis and can reveal patterns that suggest areas for improvement in the model.
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