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2021-2022 Catalog

MATH 338 Advanced Regression Analysis

Topics include simple linear regression, multiple linear regression, and nonlinear regression, more specifically the course covers applications of least squared techniques, inference, diagnostics such as residual analysis and the associated remedial measures, and the use of ANOVA in regression. The course uses a matrix-based approach. In addition, this course shows how regression is used in many other fields through practical application of the techniques covered in this class in real-world scenarios.

Prerequisite

MATH 336 and one of MATH 272 or 300

Instructor

Staff