STA 210: Regression Analysis
Fall 2023 - Dr. Maria Tackett
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 10:05 - 11:20am | Reuben-Cooke 130 |
| Section 002 | Mon & Wed 1:25 - 2:40pm | Old Chem 116 | |
| Lab | Lab 01 | Tue 10:05 - 11:20am | Reuben-Cooke 129 |
| Lab 02 | Tue 11:45am - 1pm | LSRC A155 | |
| Lab 03 | Thu 10:05 - 11:20am | Reuben-Cooke 129 | |
| Lab 04 | Thu 11:45am - 1pm | Social Sciences 124 |
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 |
|---|---|
| Fri 1:30 - 3:30 pm | Old Chem 118B |
| or by appointment. |
Teaching assistants
| Name | Role | |
|---|---|---|
| Sam Rosen | Head TA | Lab 01: Tue 10:05 - 11:20am |
| Bethany Astor | TA | Lab 02: Tue 11:45am - 1pm |
| Jon Campbell | TA | |
| Donald Cayton | TA | Lab 02: Tue 11:45am - 1pm |
| Allison Li | TA | |
| Mitchelle Mojekwu | TA | Lab 04: Thu 11:45am - 1pm |
| Ben Thorpe | TA | |
| Linxuan Wang | TA | Lab 03: Thu 10:05 - 11:20am |
| Xiaojun Zheng | TA | Lab 04: Thu 11:45am - 1pm |