What does the standard error of the regression *predictions* represent?

The standard error of the regression predictions (also called the root mean squared error or RMSE) estimates the standard deviation of the difference between the observed values and the predicted values from the regression model. It indicates how much the actual data points tend to deviate from the regression line. A lower RMSE indicates a better-fitting model.