SAS(R) Enterprise Guide(R): ANOVA, Regression, and Logistic Regression

Target group

Course structure

Course Overview and Data Setup

• Introducing the course.
• Setting up the course data.

Getting Started in SAS Enterprise Guide 8

• Introducing the SAS Enterprise Guide 8 environment.

Introduction to Statistics

• Discussing fundamental statistical concepts.
• Examining distributions.
• Describing categorical data.
• Constructing confidence intervals.
• Performing simple tests of hypothesis.

Analysis of Variance (ANOVA)

• Performing one-way ANOVA.
• Performing multiple comparisons.
• Performing two-way ANOVA with and without interactions.

Regression

• Using exploratory data analysis.
• Producing correlations.
• Fitting a simple linear regression model.
• Understanding the concepts of multiple regression.
• Building and interpreting models.
• Describing all regression techniques.
• Exploring stepwise selection techniques.

Regression Diagnostics

• Examining residuals.
• Investigating influential observations and collinearity.

Categorical Data Analysis

• Describing categorical data.
• Examining tests for general and linear association.
• Understanding the concepts of logistic regression and multiple logistic regression.
• Performing backward elimination with logistic regression.

Resources

• Exploring additional resources.