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2015-2016 University Catalog
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STAT 526 - Applied Regression AnalysisCredits: 3
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.
Prerequisite(s): STAT 535, STAT 554, or equivalent.
Notes: 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.
Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0
When Offered: Fall
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