This course provides students with a thorough introduction to applied regression methodology. The concept of simple linear regression will be reviewed and discussed using matrices, and multiple linear regression, transformations, diagnostics, polynomial regression, indicator variables, model building and multicolinearity will be discussed, as will be nonlinear and generalized linear regression. The course will focus on applications such as those from biometry and biostatistics (clinical trials, HIV studies, etc.), sports, engineering, agriculture and environmental science.
STAT 408 - 001
Applied Regression Analysis
Session
Regular Academic Session
Class Number
6469
Career
Graduate
Units
3 units
Grading
Graded
Description
This course provides students with a thorough introduction to applied regression methodology. The concept of simple linear regression will be reviewed and discussed using matrices, and multiple linear regression, transformations, diagnostics, polynomial regression, indicator variables, model building and multicolinearity will be discussed, as will be nonlinear and generalized linear regression. The course will focus on applications such as those from biometry and biostatistics (clinical trials, HIV studies, etc.), sports, engineering, agriculture and environmental science.
Add Consent
Department Consent Required
Class Notes
STAT 408-001 meets with STAT 308-001
Class Actions
Class Details
Instructor(s)
Kejin Wu,
Timothy O'Brien
Meets
MoWeFr 11:30AM - 12:20PM
Dates
01/12/2026 - 05/02/2026
Room
Crown Center - Room 210
Instruction Mode
In person
Campus
Lake Shore Campus
Location
Lake Shore Campus
Components
| Lecture Required |
Class Availability
Status
Open
Seats Taken
27
Seats Open
9
Combined Section Capacity
36
Wait List Total
0
Wait List Capacity
0
Combined Section
Applied Regression Analysis
STAT 308 - 001 (6096)
Status: Open - Enrl
Seats Taken: 25
Wait List Total: 0
Applied Regression Analysis
STAT 408 - 001 (6469)
Status: Open - Enrl
Seats Taken: 2
Wait List Total: 0