About this Course
This course provides an applied introduction to bivariate and multiple regression, focusing on how generative AI can be used as a partner to streamline analysis and enhance prediction accuracy. Students will learn how to structure research questions, run regression models using AI tools, and interpret key outputs like coefficients and R-squared values. Emphasis is placed on practical applications, with generative AI guiding both the execution of the analysis and the explanation of results. By the end of the course, students will be able to leverage AI to predict outcomes and clearly communicate data-driven insights in real-world contexts. If you have little experience with data analysis, we recommend starting with From Data to Decisions: Getting Started with AI and From Data to Decisions: Finding Patterns with AI to better prepare for this course
What You'll Learn
- Leverage AI to predict outcomes and communicate data-driven insights
- Structure research questions and run regression models using AI tools
- Interpret regression coefficients
- Interpret R-squared values
Prerequisites
- Basic knowledge of statistics including mean, median, standard deviation, and standard errors
Instructors
William Doyle
Department Chair, Department of Leadership, Policy, and Organizations