Regression and Linear Models

STAT 615, Fall 2020

Class meets: TR 9:40 - 11:00am via Zoom
(Zoom URL will be sent separately)

Instructor: Erzsébet Merényi
Office/Phone: DCH 2082, 713-348-3595  (email preferred)
Office hour: by appointment

Optional review session, weekly, time TBD  
Preferred advising by TAs / graders:
in the optional review sessions, from Sep 2  

Teaching Assistant(s):
Hoai Nam Nguyen  
Additional advising by TA: by appointment

Jane La  

Technology TA (help with Zoom and similar issues):
Xianglin (Rose) Zhang  

Sample Course Contents
Disability Allowances

Last Updated: Nov 9, 2020

This course is a survey of regression, linear models, and experimental design. Topics include simple and multiple linear regression, single- and multi-factor studies, analysis of variance, analysis of covariance, model selection, diagnostics. Data analysis using the R statistical software is emphasized. STAT 615 is the graduate level version of STAT 410. 

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