The standard error of the estimate is a measure of the spread of the y values around the regression line as calculated for the mean value of the independent variable, only, and assuming a large sample.

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Quizplus · Accepted Answer

The standard error of the estimate is exactly what its name suggests: it is a measure of how much error there is between the regression line and the actual data points. It is calculated based on the difference between the observed and predicted values, and represents an estimate of the standard deviation of the errors. It only applies under certain assumptions, such as a large sample size and normally distributed errors, but assuming these are met, the standard error of the estimate provides a useful measure of how well the regression line fits the data.

The Standard Error of the Estimate Is a Measure of the Spread