STA 221 - Regression Analysis: Theory and Applications
Fall 2024 - Dr. Maria Tackett
Overview
In STA 221, students will learn how linear and logistic regression models are used to explore multivariable relationships, apply these methods to answer relevant and engaging questions using a data-driven approach, and learn the mathematical underpinnings of the models. Students will develop computing skills to implement a reproducible data analysis workflow and gain experience communicating statistical results. Throughout the semester, students will work on a team project where they will develop a research question, answer it using methods learned in the course, and share results through a written report and presentation.
Topics include applications of linear and logistic regression, analysis of variance, model diagnostics, and model selection. Regression parameter estimation via maximum likelihood least squares will also be discussed. Students will gain experience using the computing tools R and GitHub to analyze real-world data from a variety of fields.
Pre-requisites
Either any STA 100-level course or STA 230, 231, or 240L and MATH 216, 218, or 221. The recommended co-requisite is STA 230, 231, or 240L. Interested students with different backgrounds should seek instructor consent.
Class meetings
| Lecture | Tue & Thu 11:45am - 1pm | Old Chemistry 116 |
| Lab 01 | Mon 11:45am - 1pm | LSRC A247 |
| Lab 02 | Mon 4:40 - 5:55pm | Old Chemistry 101 |
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 |
|---|---|
Mon 1:30 - 2:30pm Thu 3 - 4pm |
Old Chem 118B |
| or by appointment. |
Teaching assistants
| Name | Role | Office Hours | |
| Kat Husar | Head TA Lab 02L leader |
Tue 1:30 - 3:30pm, Old Chem 220 | |
| Jon Campbell | Lab 01L leader | Tue & Thu 9 - 10am, Old Chem 025 | |
| Ishrit Gupta | Lab 01L helper | Fri 1- 3pm, Old Chem 203B | |
| Alan Wang | Lab 02L helper | Mon & Wed 10 - 11am, Old Chem 203B |
License
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