Regression and Linear Models

STAT 615, Fall 2016

Class meets: TR 9:25 - 10:40am KWG 100
Instructor: Erzsébet Merényi
Office/Phone: DCH 2040, 713-348-3595 
Office hour: by appointment

Teaching Assistants and contact information:
Daniel Cross   office: DCH TBA
Robert Kosar   office: DCH TBA
Minjie (Alex) Wang   office: DCH TBA

Optional review session, W 5 - 7pm, DCH 1046  
Additional advising by TAs: by appointment  

Graders and contact information:
Shuang (Shela) Jiang 
Yuqiu Yang  
Xi (Andrew) Li  

Sample Course Contents
Disability Allowances

Last Updated: November 30, 2016

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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