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

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Chapter 1 Introduction to Statistics1.1 Introducing SAS Enterprise Guide1.2 Fundamental Statistical Concepts1.3 Picturing Distributions1.4 Confidence Intervals for the Mean1.5 Hypothesis Testing1.6 Solutions

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Chapter 2 Analysis of Variance (ANOVA)2.1 Two-Sample t-Tests2.2 One-Way ANOVA2.3 ANOVA with Data from

a Randomized Block Design2.4 ANOVA Post Hoc Tests2.5 Two-Way ANOVA with Interactions2.6 Solutions

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Chapter 3 Regression3.1 Exploratory Data Analysis3.2 Simple Linear Regression3.3 Concepts of Multiple Regression3.4 Model Building and Interpretation3.5 Solutions

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Chapter 4 Categorical Data Analysis4.1 Describing Categorical Data4.2 Tests of Association4.3 Introduction to Logistic Regression4.4 Multiple Logistic Regression4.5 Solutions

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Chapter 5 Regression Diagnostics5.1 Examining Residuals5.2 Influential Observations5.3 Collinearity5.4 Solutions

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Appendix B Additional TopicsB.1 Paired t-TestsB.2 Nonparametric ANOVAB.3 Exact p-Values for Chi-Square Tests of Association

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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.