May 30, 2024  
2013-2014 Graduate Catalog 
    
2013-2014 Graduate Catalog [ARCHIVED CATALOG]

Add to Portfolio (opens a new window)

STAT 572 - Applied Regression Analysis for Business

3 Credit Hours
Matrix approach to multiple linear regression. Normal equations, interaction and confounding, use of dummy variables, model selection. Leverage, influence and collinearity. Autocorrelated errors. Logistic regression, maximum likelihood estimation, analysis of deviance, retrospective studies. Tree based models for discrete and continuous outcomes. Robust regression, and weighted least squares. Applications involving predictive modeling for credit risk and customer acquisition. Case studies from accounting, finance, and marketing.
(RE) Prerequisite(s): 571 and matrix algebra.



Add to Portfolio (opens a new window)