 | SAS Training |
 | SAS Programming |
 | Statistical Consulting |
 | Arthur L. Carpenter |
art@caloxy.com
Principles of Regression Analysis
1 Simple Linear Regression
2 Multiple Linear Regression
3 Model Selection
4 Examining the Data and Model Assumptions
5 The Constant Variance and Normality Assumptions
6 Multicollinearity
7 Biased Regression Techniques
8 Using the REG Procedure Interactively
9 Special Topics
This course is designed for students with a working knowledge of the SAS System and a basic understanding of statistical principles.
COURSE OBJECTIVES
After completion of this course the student will be able to: