A regression diagnostic is a statistical tool used to determine the extent to which a linear model (e.g., regression equation) fits a data set.
The fit of the model is assessed by looking for residuals, which are differences between observed values and predicted values.
Residuals can be interpreted as indicators of how well the model explains the data.
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