STA 210: Regression Analysis

Overview

Learn approaches for analyzing multivariate data sets, emphasizing analysis of variance, linear regression, and logistic regression. Learn techniques for checking the appropriateness of proposed models, such as residual analyses and case influence diagnostics, and techniques for selecting models. Gain experience dealing with the challenges that arise in practice through assignments that utilize real-world data. This class emphasizes data analysis over mathematical theory.

Class meetings

Lecture	Section 001	Mon & Wed 10:15 - 11:30 am	Reuben-Cooke 130
	Section 002	Mon & Wed 3:30 - 4:45pm	Social Sciences 136
Lab	Lab 01	Thu 3:30 - 4:45pm	Perkins Link #5
	Lab 02	Thu 5:15 - 6:30pm	Perkins Link #5
	Lab 03	Fri 12 - 1:15pm	Perkins Link #5
	Lab 04	Fri 1:45 - 3pm	Old Chemistry 003

Teaching team

Instructor

Maria Tackett is an Assistant Professor of the Practice in the Department of Statistical Science at Duke University. Her work focuses on understanding how active learning strategies can be used to promote engagement and student motivation in undergraduate statistics courses. She also studies how classroom practices in introductory math and statistics courses impact students’ sense of community, self-efficacy, and learning outcomes.

Office hours	Location
Mondays 1 - 2pm	Old Chem 118B only
Thursdays 10 - 11am	Zoom only
or by appointment.

Teaching assistants

Name	Office hours	Location
Carson Garcia TA for Lab 04	Mon 5 - 7pm	Zoom
Sara Meta TA for Lab 04	Fri 10am - 12pm	Zoom
Medy Mu	Tue 4 - 6pm	Zoom
Glenn Palmer Head TA TA for Lab 03	Fri 1:25 - 3:25pm	Old Chemistry 203B
Braden Scherting TA for Lab 02	Mon 2 - 3pm Tue 3:15 - 4:15 pm	Old Chemistry 203B Old Chemistry 203B
Luke Vrotsos TA for Lab 01	Tue 6:30 - 8:30pm	Old Chemistry 025
Ben Wallace	Tue 1:30 - 2:30 Fri 9 - 10am	Zoom Old Chemistry 203B
Aaditya Warrier	Wed 6-8pm	Zoom
Grace Zhao TA for Lab 01	Tue 11a - 1pm	Zoom

Click here for full list of office hours.