MTH 6720 - Data Analysis and Modeling: Regression Techniques

Credits: 3
Lecture: 45
Lab: 0

Examines advanced topics in regression analysis. Students will learn how to construct statistical models and disseminate results to a wide audience. There will be a focus on choosing the appropriate modeling strategy for the data and research question(s) at hand.  Topics could include the following: method of least squares, residual analysis, collinearity, data transformation, polynomial regression, general linear model, selecting a best regression model, and logistic regression. Emphasis is on application and interpretation using statistical software.

 

Prerequisite(s): MTH 6710  
Corequisite(s): N/A