Statistics and Data Analysis II: The Basics of Regression


This course is a continuation of Statistics and Data Analysis I: Introduction, and that course or its equivalent is a prerequisite. Participants should also be familiar with basic algebra. The course will begin with a review of statistical inference. We will then cover correlation, bivariate regression, multiple regression, and more advanced topics including interactive models and logistic regression. Focus will be placed on application, interpretation, and presentation of results, and concepts will be illustrated with substantive social science examples. The level of the course will be approximately that of Lewis-Beck and Lewis-Beck's Applied Regression (2016).

Fees: Consult the fee structure.

Tags: introductory statistics, introductory regression, statistical inference, sampling methods, hypothesis testing

Course Sections