George Mason University
George Mason University Mason
George Mason University

STAT 526: Applied Regression Analysis

Instructor Information

Section Information

Presents regression concepts and techniques as synthesis of theory, methods, and applications. Emphasis on understanding assumptions of the regression model, how to validate a selected model, when and how regression might be useful in different application areas, and interpreting output from statistical software packages. Topics include: multiple regression model fitting, logistic regression, and time series analysis. Data analysis is emphasized. Notes: Students may not receive credit for both STAT 456 and STAT 526. Cannot be used to satisfy requirements for MS in Statistical Science.

Course Information from University Catalog

Not Repeatable


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

Offered concurrently with STAT 456. Students may not receive credit for both STAT 456 and STAT 526. Cannot be used to satisfy requirements for MS in Statistical Science.

Credits: 3

Prerequisites:

STAT 535, STAT 554, or equivalent.

Instructor Information
Expertise