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2015-2016 University Catalog
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STAT 456 - Applied Regression AnalysisCredits: 3
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.
Prerequisite(s): STAT 350, STAT 354, STAT 435, or equivalent. Prerequisite enforced by registration system.
Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0
When Offered: Fall
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