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Grading Basis: Graded
Multiple regression analysis and related techniques with applications to research in education. Topics include assumptions and inference; matrix representations; diagnostics and remedial measures; polynomial regression and interaction models; treatment of categorical independent variables, autocorrelation of errors in time series data, problems of missing values and selection bias, and logistic and ordinal regression models.
Last Refreshed: 08-DEC-23 05.20.22.289867 AM
|Section||Class Number||Notes||Instructor||Enrollment||Term||Session||Instruction Mode|
|1233 5223 1 001||001||5223||Oshiro, Briana||7/15||Spring 2023||Reg||Online|