Standardized residuals are the differences between observed values and predicted values from a statistical model, adjusted for their standard deviation. They provide a way to identify how much a particular observation deviates from the expected outcome, allowing for easier identification of outliers and model fit. By scaling the residuals, they enable a standardized comparison across observations in a dataset.
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