Welcome - Regression and Analysis of Variance STAT 3340   Regression and Analysis of Variance
CREDIT HOURS: 3
A thorough treatment of the theory and practice of regression analysis. Topics include: fitting general linear models using matrices, optimality of least squares estimators (Gauss-Markov theorem), inferences, simple and partial correlation, analysis of residuals, case-deletion diagnostics, polynomial regression, transformations, use of indicator variables for analysis of variance and covariance problems, model selection, and an introduction to nonlinear least squares. This course makes extensive use of computer packages.
FORMAT: Lecture
PREREQUISITES: STAT 2080.03, MATH 2030.03 or Math 1030.03, and one of MATH 1010.03, STAT 2060.03 or DISP (except SCIE 1540X/Y.27)
CROSS-LISTING: MATH 3340.03