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George Mason University

2016-2017 University Catalog

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2016-2017 University Catalog

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CSI 676 - Regression Analysis

Credits: 3
Not Repeatable for Credit
Offered by Computational and Data Sciences

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.

Equivalent to STAT 656.

Prerequisite(s): B- or higher in STAT 554, matrix algebra and working knowledge of SAS.
Prerequisite(s) enforced by registration system.

Corequisite(s): STAT 544.

Schedule Type: LEC
Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0

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CSI 676 - Regression Analysis