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STAT378 - Applied Regression Analysis

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. Prerequisite: STAT 266, or STAT 235 with consent of the Department.

Fall Term 2020

Lecture Sections

Fall Term 2020 - LEC A1 (75244)

MWF 10:00:00 - 10:50:00 (TBD)

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