This course is designed for SAS professionals who use SAS/STAT software to conduct and interpret complex statistical data analysis. It covers analysis of variance, linear and logistic regression, preparing inputs for predictive models, and measuring model performance.
Suitable for Statisticians, researchers, and business analysts who use SAS programming to generate analyses using either continuous or categorical response (dependent) variables; as well as modelers and analysts who need to build predictive models, particularly models from the banking, financial services, direct marketing, insurance and telecommunications industries.
Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
Predictive Modeling Using Logistic Regression
Before attending this course, you should have completed the equivalent of an undergraduate course in statistics covering p-values, hypothesis testing, analysis of variance, and regression.
Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
Predictive Modeling Using Logistic Regression