SAS

1. SAS®
Enterprise Guide®
:
ANOVA, Regression,
and Logistic Regression

2. 2
Chapter 1 Introduction to Statistics
1.1 Introducing SAS Enterprise Guide
1.2 Fundamental Statistical Concepts
1.3 Picturing Distributions
1.4 Confidence Intervals for the Mean
1.5 Hypothesis Testing
1.6 Solutions

3. 3
Chapter 2 Analysis of Variance (ANOVA)
2.1 Two-Sample t-Tests
2.2 One-Way ANOVA
2.3 ANOVA with Data from
a Randomized Block Design
2.4 ANOVA Post Hoc Tests
2.5 Two-Way ANOVA with Interactions
2.6 Solutions

4. 4
Chapter 3 Regression
3.1 Exploratory Data Analysis
3.2 Simple Linear Regression
3.3 Concepts of Multiple Regression
3.4 Model Building and Interpretation
3.5 Solutions

5. 5
Chapter 4 Categorical Data Analysis
4.1 Describing Categorical Data
4.2 Tests of Association
4.3 Introduction to Logistic Regression
4.4 Multiple Logistic Regression
4.5 Solutions

6. 6
Chapter 5 Regression Diagnostics
5.1 Examining Residuals
5.2 Influential Observations
5.3 Collinearity
5.4 Solutions

7. 7
Appendix B Additional Topics
B.1 Paired t-Tests
B.2 Nonparametric ANOVA
B.3 Exact p-Values for Chi-Square Tests of Association

8. 8
SAS and all other SAS Institute Inc. product or service names are registered
trademarks or trademarks of SAS Institute Inc. in the USA and other countries.
® indicates USA registration. Other brand and product names are trademarks of
their respective companies. Copyright © 2010 SAS Institute Inc. Cary, NC, USA.
All rights reserved. Prepared 08MAR2010.