Regression Methods

Regression Methods

Course Number: 

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.


Spring 2019
Section Credits Room Instructor Syllabus
STA 648-201 4.0 TBD Melissa Q Pittard
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