Concept
Regression diagnostics are crucial for assessing the validity of a regression model by identifying potential issues such as non-linearity, multicollinearity, or heteroscedasticity. Proper diagnostics ensure that the model's assumptions are met, which is essential for making accurate predictions and inferences from the data.
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