2024-2025 Undergraduate & Graduate Catalog
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 the best regression model, and logistic regression. Offered fall semester on sufficient demand. Prerequisite: STA 216.
Credits: 3