What is the standard error of the estimate (SEE) and how does it differ from the standard deviation?

The standard error of the estimate (SEE) measures the accuracy of predictions made with a regression line. It represents the average distance between the observed values and the predicted values. Unlike the standard deviation, which describes the spread of data around the *mean*, the SEE describes the spread of data around the *regression line*. A smaller SEE indicates a more accurate predictive model.