STA 648 - REGRESSION METHODS

College of Arts & Sciences

Credits: 4

Statistics (STA) 648 is an applied regression course that emphasizes data analysis and interpretation. Generally, regression is a collection of methods for determining and using models that explain how a response variable (dependent variable) relates to one or more explanatory variables (predictor variables). This course aims to teach students about different regression models, their corresponding assumptions, and how to interpret the estimated models. Statistical computing will be central to understanding material in this course as the student will be required to perform analyses on real datasets using the learned methods.

Prerequisite(s):
Prereq: STA 645 and admission to the Master of Applied Statistics program or permission of the instructor.
Approved for Distance Learning.