A Gentle Introduction to Statistics Using SAS Studio in the Cloud

12

Simple and Multiple Regression

Introduction

Correlation analysis identifies relationships between variables—regression analysis enables 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 techniques are useful. One reason is that you can use the resulting regression equation to predict a value. For example, given the gender, height, and weight of a person, you could predict ...