Regression and Linear Models

STAT 615, Fall 2017

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

Teaching Assistants and contact information:
Carlynn Fagnant   DCH 2125
Advising by TA: by appointment
Zhengjia Wang   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  
Jiacheng (Leo) Liang  
Yue Pan  
Siqi Yan  

Sample Course Contents
Disability Allowances

Last Updated: November 21, 2017

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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