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STAT502 - Directed Study II

Simple linear regression analysis, inference on regression parameters, residual analysis, prediction intervals, weighted least squares. Multiple regression analysis, inference about regression parameters, multicollinearity and its effects, indicator variables, selection of independent variables. Non-linear regression. Each student will give a written report and seminar presentation highlighting statistical methods used in a research project. Prerequisite: STAT 337 or equivalent and a course in linear algebra. Note: Cannot be used for credit towards a graduate program in Statistics.

Fall Term 2018

Lecture Sections

Fall Term 2018 - LEC A1 (63390)

MWF 10:00:00 - 10:50:00 (V 102)
Instructor: TBD

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