regression
The average distance that the observed values fall from the regression line. It tells you how wrong the regression model is on average using the units of the response variable. Smaller values are better because it indicates that the observations are closer to the fitted line. The standard deviation of the errors in the regression model. Sometimes called the standard error of the estimate. This is the square root of MSE.