Volgenau School of Engineering
George Mason University
George Mason University Mason
George Mason University

STAT 456: Applied Regression Analysis

Instructor Information

Section Information

Introduces statistical modeling with a focus on regression. Topics include: Correlation, simple and multiple regression models, model fitting, variable selection, diagnostic tools, model validation, inference for regression parameters, and matrix forms for multiple regression. Data analysis is emphasized. Computer statistical packages are used to perform computations.

Course Information from University Catalog

Limited to 2 Attempts


Introduces statistical modeling with a focus on regression. Topics include: Correlation, simple and multiple regression models, model fitting, variable selection, diagnostic tools, model validation, inference for regression parameters, and matrix forms for multiple regression. Data analysis is emphasized. Computer statistical packages are used to perform computations.

When Offered: Fall

Hours of Lecture or Seminar per week: 3

Credits: 3

Prerequisites:

STAT 350, STAT 354, STAT 435, or equivalent.

Instructor Information