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 to
 fit polynomial regression models using the GLMSELECT and REG procedures
 select models based on several statistics and automatic model selection methods using PROC GLMSELECT
 evaluate model fit and model assumptions using the GLMSELECT, REG, GLM, GENMOD, and UNIVARIATE procedures
 fit Poisson and negative binomial models using the GENMOD procedure, and fit gamma regression models using the GLIMMIX procedure
 perform analysis of variance using the GLM procedure
 write LSMESTIMATE statements in PROC GLM
 fit ANCOVA models using PROC GLM
 fit models with random effects using the GLIMMIX procedure
 create a variety of statistical graphs.
Who should attend
Data analysts and researchers with some statistical training
Formats available  Duration   
eLearning: 
21 hours/180 day license 

Before attending this course, you should
 have some experience creating and managing SAS data sets, which you can gain from the SAS Programming 1: Essentials course
 be able to fit simple and multiple linear regression models using the REG procedure
 be able to analyze a oneway analysis of variance using the GLM procedure
 understand the statistical concepts of normal distribution, sampling distributions, hypothesis testing, and estimation
 have completed a graduatelevel course in regression and analysis of variance methods or the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course.
Students should have completed the SAS Programming 1: Essentials and Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression courses or have equivalent experience.
This course addresses SAS/ETS, SAS/STAT software.
You benefit from this course even if SAS/GRAPH software is not installed at your location. This course is compatible within SAS Studio.