SAS for Linear Models, Fourth Edition

Chapter 2 Regression

2.1 Introduction

2.2 The REG Procedure

2.2.1 Using the REG Procedure to Fit a Model with One Independent Variable

2.2.2 The P, CLM, and CLI Options: Predicted Values and Confidence Limits

2.2.3 A Model with Several Independent Variables

2.2.4 The SS1 and SS2 Options: Two Types of Sums of Squares

2.2.5 Tests of Subsets and Linear Combinations of Coefficients

2.2.6 Fitting Restricted Models: The RESTRICT Statement and NOINT Option

2.2.7 Exact Linear Dependency

2.3 The GLM Procedure

2.3.1 Using the GLM Procedure to Fit a Linear Regression Model

2.3.2 Using the CONTRAST Statement to Test Hypotheses about Regression Parameters

2.3.3 Using the ESTIMATE Statement to Estimate Linear Combinations of Parameters

2.4 Statistical Background ...