Skip to main content

2010-2011 Undergraduate & Graduate Catalog

Search Help

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 semesters on sufficient demand. Prerequisites: STA 216.

Credits: 3



If you are in need of assistance please submit any questions or comments.