STAT 656 - Regression Analysis

Institution:
George Mason University
Subject:
Description:
Credits: 3 Simple and multiple linear regression, polynomial regression, general linear models, subset selection, step-wise regression, and model selection. Also covered are multicollinearity, diagnostics, and model building. Both the theory and practice of regression analysis are covered. Prerequisites STAT 554, matrix algebra, and working knowledge of SAS. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F
Credits:
3.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(703) 993-1000
Regional Accreditation:
Southern Association of Colleges and Schools
Calendar System:
Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.

Detail Course Description Information on CollegeTransfer.Net

Copyright 2006 - 2025 AcademyOne, Inc.