Statistics 2: ANOVA and Regression
Classroom duration: 3.0 days Live Web duration: 6 half-day sessions CEU: 1.8
This course teaches you how to analyze continuous response data and discrete count data. Linear regression, Poisson regression, negative binomial regression, gamma regression, analysis of variance, linear regression with indicator variables, analysis of covariance, and mixed models ANOVA are presented in the course.
Learn how to use the ODS Graphics facility and the new SG graphical procedures in SAS 9.2 to
- fit polymonial regression models using the REG procedure
- select models based on several statistics and automatic model selection methods using PROC REG
- evaluate model fit and model assumptions using the REG, GLM, GENMOD, and UNIVARIATE procedures
- fit Poisson, negative binomial, and gamma regression models using the GENMOD procedure
- perform analysis of variance using the GLM procedure
- write CONTRAST and ESTIMATE statements in PROC GLM
- fit regression models with dummy variables using PROC REG and ANCOVA models using PROC GLM
- fit models with random effects using the MIXED procedure
- create a variety of statistical graphs.
Who should attend
Data analysts and researchers with some statistical training. Students should have completed the SAS Programming I: Essentials and Statistics I: Introduction to ANOVA, Regression, and Logistic Regression courses, or have equivalent experience.Prerequisites
Before attending this course, you should- have some experience creating and managing SAS data sets, which you can gain from the SAS Programming I: Essentials course
- be able to fit simple and multiple linear regression models using the REG procedure
- be able to analyze a one-way analysis of variance using the GLM procedure
- understand the statistical concepts of normal distribution, sampling distributions, hypothesis testing, and estimation
- have completed a graduate-level course in regression and analysis of variance methods or the Statistics I: Introduction to ANOVA, Regression, and Logistic Regression course.
Course Contents
Regression- building and evaluating multiple polynomial regression models
- dealing with violations of model assumptions
- performing n-way ANOVA
- interpreting significant interactions
- writing CONTRAST and ESTIMATE statements
- understanding issues associated with unbalanced data
- using and interpreting indicator variables in the REG procedure
- building and interpreting analysis of covariance models using the GLM procedure
- comparing regression using indicator variables with analysis of covariance
- using the GENMOD procedure to fit Poisson, negative binomial, and gamma regression models
- performing linear mixed model analysis
Software Addressed
This course addresses the following software product(s): SAS/STAT, SAS/ETS, SAS/GRAPH. You benefit from this course even if SAS/GRAPH software is not installed at your location.Classroom Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.Live Web 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 follow 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:
- Base SAS 9.2 or 9.1.3 on a Windows operating system;
SAS/STAT software; SAS/ETS software; and SAS/GRAPH software; or
SAS Learning Edition.
Important:- Students using SAS Learning Edition will need to create a shortcut to the SAS windowing environment (SAS Explorer, Enhanced Editor, Log, and Output windows) for use during the class. Follow these instructions for creating a shortcut to SAS prior to class.
- If you are using Enterprise Guide rather than writing SAS programs in the Enhanced Editor, this class is not an appropriate offering.
- Base SAS 9.2 or 9.1.3 on a Windows operating system;
SAS/STAT software; SAS/ETS software; and SAS/GRAPH software; or
SAS Learning Edition.