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SOCI 709 - Linear Regression

Description
The course presents regression analysis and related techniques. The major topics are the assumptions of the regression model, dummy variables and interaction terms, outlier diagnostics, multicollinearity, specification error, heteroscedasticity and autocorrelation. The final section introduces path analysis, recursive models, and nonrecursive systems. Class Notes: If you would like to enroll in this course, and are from an outside department, please contact the instructor directly. Instruction Mode: in person on campus learners
Recent Semesters
Spring 2024, Spring 2023, Spring 2022, Spring 2021, Spring 2020
Former Title
Linear Regression Models
Class Size
15
Credits
4
Usually Offered
MW (1 hour 45 minutes), TuTh (1 hour 45 minutes)