Regression Analysis
Simple linear regression and multiple linear regression models. Inference about model parameters and predictions, diagnostic and remedial measures about the model, independent variable selection, multicolinearity, autocorrelation and nonlinear regression.
Prerequisite(s)*: STA 3024 or STA 3032 or (STA 4321 and STA 2023) or (MAS 3114 and STA 2023) or (MAS 4105 and STA 2023)
* STA 3100 (Programming with Data in R) is in the process of becoming a prerequisite, so until then, some programming experience is recommended. Consider taking STA 3100 in the same term.
Credit Hours: 3