Regression and Linear Models

STAT 615, Fall 2017


Class meets: TR 9:25 - 10:40am DCH 1070
Instructor: Erzsébet Merényi
email: erzsebet@rice.edu
Office/Phone: DCH 2082, 713-348-3595 
Office hour: by appointment

Teaching Assistants and contact information:
Carlynn Fagnant Carly.Fagnant@rice.edu   DCH 2125
Advising by TA: by appointment
Zhengjia Wang Zhengjia.Wang@rice.edu   DCH 2094
Advising by TA: Mo 1-2 pm
Optional review session, W 5 - 7pm, DCH 2014  
Additional (preferred) advising by TAs:
in the optional review sessions, from Aug 30  

Graders and contact information:
Shu (Amy) Cong sc86@rice.edu  
Jiacheng (Leo) Liang littlecc.liang@gmail.com  
Yue Pan yuep@rice.edu  
Siqi Yan siqi.yan@rice.edu  

Pre-requisites
Sample Course Contents
Syllabus
Disability Allowances







Last Updated: November 21, 2017


Welcome!
Short course description: 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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