15.17 REGRESSION

The REGRESSION procedure fits linear models to data via least-squares estimation. The procedure is appropriate for data which satisfy those assumptions typical in linear regression:

The REGRESSION procedure estimates the coefficients b_0,…,b_k and produces output relevant to inferences for the linear model.