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APPLIED REGRESSION ANALYSIS

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APPLIED REGRESSION ANALYSIS

2016 Spring Term

3 Units

Mathematics 420

This is a second course in regression analysis and its applications. Topics include correlation, simple and multiple linear regression, model assumptions, inference of regression parameters, regression diagnostics and remedial measures, categorical predictors, multicollinearity,and model selection. Real data re emphasized and analyzed using statistical software such as R or SAS.

Other Requirements: PREREQ: MATH 342 OR CONSENT OF INSTRUCTOR

Class Schedule

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Section Details Meeting Details & Topic Instructor Syllabus
 
01-LEC 3681
3 Units
01/19 - 05/17 (1) MW 12:30 PM - 1:45 PM
Khyam Paneru
HY0210HY0210

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