The standard error of the estimate quantifies the accuracy of predictions made by a regression model by measuring the average distance that observed values fall from the regression line. It provides insight into how well the model explains the variation in the dependent variable, with a smaller standard error indicating a better fit. This metric is essential for interpreting the reliability of predictions and assessing the overall quality of the regression analysis.
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