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2016-2017 Undergraduate & Graduate Catalog

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STA 321 - Applied Regression Analysis

Multivariate regression analysis with emphasis on application using a statistical software package. Topics include method of least squares, residual analysis, collinearity, data transformation, polynomial regression, general linear model, selecting a best regression model, and logistic regression. Offered fall semester on sufficient demand. Prerequisite: STA 216.

Credits: 3



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