SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression

Duration: 5 half-day session CEU: 1.5

This course is designed for SAS Enterprise Guide users who want to perform statistical analyses.

Learn how to

generate descriptive statistics and explore data with graphs
perform analysis of variance
perform linear regression and assess the assumptions
use diagnostic statistics to identify potential outliers in multiple regression
use chi-square statistics to detect associations among categorical variables
fit a multiple logistic regression model

Who should attend

Statisticians and business analysts who want to use a point-and-click interface to SAS

Prerequisites

Before attending this course, you should

have completed an undergraduate course in statistics covering p-values, hypothesis testing, analysis of variance, and regression
be able to perform analyses and create data sets with SAS Enterprise Guide software. You can gain this experience by completing the Querying and Reporting Using SAS Enterprise Guide course.

Course Contents

Introduction to Statistics

discussing fundamental statistical concepts
examining distributions
describing categorical data

Inferences for the Mean

constructing confidence intervals
performing simple tests of hypothesis

Analysis of Variance

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
exploring stepwise selection techniques

Model Building and Interpretation

describing all regression techniques
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
exploring logit plots (Self-Study)

Software Addressed

This course addresses the following software product(s): SAS/STAT, SAS Enterprise Guide. This course also addresses Base SAS software and touches on SAS/GRAPH software. You benefit from this course even if SAS/GRAPH software is not installed at your location.

Course Materials

Students attend Live Web classes using a Web browser and a telephone and interact with their instructor and fellow classmates in real time. Each student receives an e-mail with instructions on how to join the class three business days before the class begins. The instructions e-mail includes a link to download the course materials, including the exercise files. Students need to download and print the course materials prior to class.

System Requirements

For Live Web, you must

review and meet the general system requirements.
complete the course exercises through our virtual lab. The virtual lab allows you to access the software used in class over the Internet, so that you do not need this software on your local machine.
run this test to connect to a virtual lab session. If firewall problems prevent you from connecting to the virtual lab, then you will need the following software installed and configured in your environment to participate in the course exercises:
- SAS Enterprise Guide (4.1 or higher) and Base SAS, SAS/STAT, and SAS/GRAPH software (release 9 or 8.2) under a Windows operating system