What are the different interpretations of a low standard error of the estimate?

A low SEE suggests a strong linear relationship between the independent and dependent variables and a good fit of the regression model to the data. It implies that the predictions made by the model are relatively accurate. It also suggests that the model is capturing most of the variation in the dependent variable.