The standard error of the estimate is a measure of the accuracy of predictions made in a regression analysis. It quantifies the typical distance between the observed data points and the regression line, indicating the precision of the model’s predictions. A smaller standard error signifies a closer fit of the data to the regression line, enhancing the reliability of the model’s forecasts.
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