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15.14 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.