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Statistics 2: ANOVA and Regression
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Please note the System Requirements below. Course fee: $1,725 EPTO units: 3.3 CEUs: 1.8 | ||
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This outline is provisional and subject to change.
This course teaches you how to analyze continuous response data and discrete count data. Linear regression, Poisson regression, Gamma regression, analysis of variance, and mixed models ANOVA are presented in the course.
Learn how to
- use the new SG graphing procedures for exploratory data analysis
- use PROC REG to fit multiple polynomial regression models
- perform model diagnostics and remedial measures using a variety of procedures
- fit a Poisson and gamma regression model using the GENMOD procedure
- perform analysis of variance and fit ANCOVA models using the GLM procedure
- fit regression models with dummy variables
- fit ANOVA models with random effects using the MIXED procedure.
Who should attend
Statisticians, business analysts, data analysts, and researchers with some statistical training
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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
- using the GENMOD procedure to fit Poisson and gamma regression models
- performing n-way ANOVA
- interpreting significant interactions
- writing CONTRAST and ESTIMATE statements
- understanding issues associated with unbalanced data
- performing linear mixed model analysis
- building and interpreting analysis of covariance models using the GLM procedure
- using and interpreting indicator variables in the REG procedure
- comparing analysis of covariance with regression using indicator variables
Software
This course addresses SAS/STAT, SAS/ETS, SAS/GRAPH. You benefit from this course even if SAS/GRAPH software is not installed at your location.
Course Materials
Classroom: Students attend classroom courses in one of our public training centers. You receive
a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
Live Web: 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. Students need to download and print the course materials prior to class.
Live Web: 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. 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 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.
- Base SAS 9.2 or 9.1.3 on a Windows operating system or
SAS Learning Edition.
Share Your Thoughts
Not sure if this course suits your needs or which delivery method is right for you?
Give us a call at 800-333-7660 or send us e-mail.
If you have suggestions for this course or would like for it to be offered at another
training facility, let us know by adding to our Interest List.
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