Credits: 3 credits
Delivery: Campus
Students are exposed to the concepts of regression analysis with an emphasis on application. Students will learn how to appropriately conduct residual analysis, perform diagnostics, apply transformations, select and check models, and augment regression such as with weighted least squares and nonlinear models. Students may learn additional topics such as inverse, robust, ridge and logistic regression.
Prerequisite: MATH 1300 or MATH 2121 or MATH 2120, STAT 2000
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