Intro to Scientific Computing
Residuals are the differences between the observed values and the predicted values in a regression analysis. They help measure how well a model fits the data by showing the errors in prediction. Analyzing residuals is crucial for understanding the accuracy of a model and for diagnosing any potential problems in the fitting process.
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