DSI-6230 Regression Analysis

In this course, students will learn how multiple linear regression models are derived, use software to implement them, learn what assumptions underlie the models, learn how to test whether data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models. Graduate students enrolled in this course will complete a project/assignment that engages in higher levels of thought and creativity, requiring them to demonstrate knowledge at more advanced taxonomical levels.

Credits: 3

Please contact the schools for availability.