Biostatistics
Residuals are the differences between observed values and the values predicted by a statistical model. They play a crucial role in evaluating the fit of a model, as they help identify patterns that indicate how well the model captures the underlying data structure. Analyzing residuals can reveal issues such as non-linearity, outliers, or heteroscedasticity, which may suggest the need for model refinement.
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