APPLIED REGRESSION ANALYSIS
APPLIED REGRESSION ANALYSIS
2021 Fall Term
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
Disclaimer
- This schedule is informational and does not guarantee availability for registration.
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Section Details | Meeting Details & Topic | Instructor | Syllabus | ||
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01-SEM 2154
3 Units
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09/02 - 12/11 (1) | MW 9:30 AM - 10:45 AM |
Durga Kutal
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