Prerequisite: 16:960:590 or permission of instructor.
Review of basic statistical theory and matrix algebra; general regression
models, computer application to regression techniques, residual analysis,
selection of regression models, response surface methodology, nonlinear
regression models, experimental design models, analysis of covariance.
Emphasis on applications.