Statistics 5346: Regression Analysis
Simple linear regression, multiple regression, regression diagnostics, multicollinearity, measures of influence and leverage, model selection techniques, polynomial models, regression with autocorrelated errors, introduction to non-linear regression.(Co-listed with Comp Sci 5204)
Additional Info:
Time/Day: 02:00 pm - 03:15 pm TR Prerequisites: : Math 2222 and one of Stat 3111, 3113, 3115, 3117, or 5643. Units: 3 Course Component(s): Lecture |
Group Project: yes Live Participation Required: no Download Restrictions: allowed upon request |
Books: Applied Linear Regression Models, Revised Edition with Student CD, 4th Edition by Kutner, Nachtsheim, and Neter |
Attention Distance Students
For EdTech Media produced classes: Access to live and archived media is thru MediaSpace.
For other course content: please contact your instructor.
Enrollment Information | ||||
Campus | Delivery Mode | Class Status | Class Nbr | Section |
Distance Education | Internet | OPEN | 72175 | 1DIS |
Course Access Information | ||||
Learning Management System | Canvas |