This self-paced learning is designed for individuals who need a solid foundation in using SAS software to conduct and interpret complex statistical data analysis and who can learn autonomously

The included content helps you prepare for the SAS Certified Statistical Business Analyst Using SAS(R)9: Regression and Modeling credential.

Learn how to

• generate descriptive statistics and explore data with graphs
• perform analysis of variance and apply multiple comparison techniques
• perform linear regression and assess the assumptions
• use regression model selection techniques to aid in the choice of predictor variables in multiple regression
• use diagnostic statistics to assess statistical assumptions and identify potential outliers in multiple regression
• use chi-square statistics to detect associations among categorical variables
• fit a multiple logistic regression model
• score new data using developed models
• use logistic regression to model an individual's behavior as a function of known inputs
• create effect plots and odds ratio plots using ODS Statistical Graphics
• handle missing data values
• tackle multicollinearity in your predictors
• assess model performance and compare models.

Who should attend

Modelers, analysts, and statisticians who need to build predictive models