What does the standard error of the regression tell us about the model?

The standard error of the regression (often denoted as 's' or 'σ') estimates the standard deviation of the error term, which represents the average distance that the observed values fall from the regression line. A smaller standard error indicates that the data points are clustered closely around the regression line, suggesting a better fit and more reliable predictions. It's a measure of the precision of the regression estimates.