MATH - 372. Regression Analysis

(2 hours lecture, 2 hours laboratory)
3 credit(s)
Regression Analysis and Statistical Models encompass essential statistical techniques that have vast applications in any field that involves data. This course introduces simple, multiple, and polynomial regression models, in addition to generalized linear models. Additional topics include correlation, collinearity, model building, model adequacy and residual analysis, among others. Mathematics Lab

Prerequisite(s): MATH 115 OR MATH 120; AND ATDV 110 OR BAAS 200 OR MATH 275 OR MATH 371.
Attribute: ARTS, DASC, MHUL

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