APPLIED REGRESSION ANALYSIS
APPLIED REGRESSION ANALYSIS
2019 Fall 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
Disclaimer
- This schedule is informational and does not guarantee availability for registration.
- Sections may be full or not open for registration. Please use WINS if you wish to register for a course.
| Section Details | Meeting Details & Topic | Instructor | Syllabus | ||
|---|---|---|---|---|---|
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01-LEC 2629
3 Units
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09/03 - 12/13 (1) | MW 12:30 PM - 1:45 PM |
Khyam Paneru
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