Regression Modeling

Catalog description

. This course covers statistical models and methods. Topics include the linear regression model, least squares, least squares estimator, multiple regression, model selection, logistic regression, multivariate models, inference about independence, causal inference, confounding variables, generalized linear regression, analysis of variance, heteroscedasticity.