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MATH 427 - Applied Regression Methods

Review of matrix algebra notation and vocabulary. Standard least squares method and application to problems arising from social, biological and engineering sciences. Deviation from assumption of multicollinearity. Variable selection methods. Analysis of variance, logistic regression models. Course includes an applied project (a thorough analysis of real-life data using computer packaged programs).
Prerequisites
Prerequisites: MATH 303 and either MATH 317, MATH 405 or ECON 218.
When Offered
Offered every 3 semesters.
(3 cr.)
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