Regression Analysis and Modeling (3) Multiple regression methodology using matrix notation; linear, polynomial, and nonlinear models; indicator variables; AOV models; piece-wise regression, autocorrelation; residual analyses.
Regression Analysis and Modeling (3)
General Education: None
Bachelor of Arts: None
Effective: Fall 2006
Prerequisite: STAT 500 or equivalent; matrix algebra; calculus
Note : Class size, frequency of offering, and evaluation methods will vary by location and instructor. For these details check the specific course syllabus.