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APPLIED REGRESSION ANALYSIS

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APPLIED REGRESSION ANALYSIS

2022 Fall Term

3 Units

Statistics 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: STAT 342 OR CONSENT OF INSTRUCTOR

Class Schedule

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Section Details Meeting Details & Topic Instructor Syllabus
 
01-SEM 2694
3 Units
09/06 - 12/10 (1) MW 9:30 AM - 10:45 AM
Durga Kutal
HY0210HY0210

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