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APPLIED REGRESSION ANALYSIS

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APPLIED REGRESSION ANALYSIS

2020 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

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  • 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
 
01-LEC 3438
3 Units
09/02 - 12/11 (1) MW 9:30 AM - 10:45 AM
Durga Kutal
HY0210HY0210
09/02 - 12/11 (1)
Durga Kutal
REMOTE
This is a hybrid course, which will have both classroom meetings and online/remote instruction. Further information will be given before the first day of class.

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