Statistics and Data Analysis II: The Basics of Regression

Instructor(s):

  • Shane Singh, University of Georgia

This workshop will be offered in an online video format.

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).

Fee and Registration: This course is part of the second four-week session. Please see our fee chart on our Registration page for the cost of attending one (or both) four-week session(s). Participants who enroll in a four-week session may take as many courses (workshops and lectures) as desired during the session for which they are enrolled. Participants in the four-week sessions are also welcome to attend all of the lectures and discussions offered in the Blalock Lecture Series.

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

Course Sections

Section 1

Location: Online -- Video format,

Date(s): July 20 - August 14

Time: 3:00 PM - 5:00 PM

Instructor(s):

  • Shane Singh, University of Georgia