Biostatistics by Example Using SAS Studio

Chapter 11: Simple and Multiple Regression

Introduction

Describing Simple Linear Regression

Understanding the Diagnostic Plots

Demonstrating Multiple Regression

Demonstrating Stepwise Multiple Regression

Conclusions

Problems

Introduction

Correlation analysis identifies relationships between variables—regression analysis allows you to predict one variable based on values of another variable (simple regression) or a combination of variables (multiple regression).

The concept behind simple or multiple regression is to select one or more variables (sometimes called predictor variables) that can be combined to predict an outcome (dependent variable). The models described in this book are all linear models.

There are several reasons why regression ...