logistic regression censored regression principal component analysis structural equation models using covariance structure analysis factor analysis survival analysis discriminant analysis cluster ...

Experienced SAS System users will find this an invaluable guide to SAS procedures for performing regression analyses. Simple and multiple variable models are discussed as well as polynomial models, ...

Section 3 will describe common procedures that are used for statistical analysis including correlation, association, ANOVA, linear regression, and logistic regression.

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.

SAS University is free statistical programming software (compatible with Mac and Windows) offered by SAS for Virginia Tech personnel. The course will provide an introduction to the SAS University ...