Language
English (en)
Date Uploaded
Summer 6-29-2026
Activity source
Original
Summary
Students use Copilot and NotebookLM to create a dataset and develop statistical analyses including regression.
Extended Summary
The purpose of this assignment is to enhance students' comfort and competencies with generative AI. Students use Copilot and NotebookLM to create a dataset and develop statistical analyses including regression. Students are also expected to compare the results from the LLM with analyses in Excel. The statistical analyses include descriptive statistics, correlation table, and regression analysis. Additional analyses include residual analysis, standardized coefficients, and visualizations.
Student Learning Objectives
After completing this assignment, students will demonstrate using a LLM to find data sources to create a dataset and develop statistical analyses with a LLM. The statistical analyses include a correlation table, regression analysis, and residual analysis. These competencies complement students' knowledge of the topic while introducing them to statistical concepts discussed later in the course.
Assignment Type
Out-of-Class
Course level
200
Used in course?
yes
If yes, enter name of course in box
DAT 1201
Type of Student-AI Collaboration Required
Collaboratively generated by human and AI
Type of AI Task(s)
Statistical Analysis and Modeling
Second Type of AI Task
Data Analysis
Third Type of AI Task
Data Entry and Processing
Uploader/Author Affiliation
Faculty
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Document Type
Teaching Material
Recommended Citation
Snir, Eli, "AI for Regression Analysis and More" (2026). Generative AI Teaching Activities. 10.
https://openscholarship.wustl.edu/ai_teaching/10