STAT 5680 - Regression Analysis

An applied course in regression analysis: simple and multiple linear regression; resolution of fit of a model, including residual analysis, precision of estimation, and tests of general hypotheses; model building; step-wise regression; use of indicator variables; non-linear regression.

Prerequisites/Corequisites: Prerequisite: An introductory statistics course such as STAT 2600 or STAT 3640.

Credits: 3 hours

Notes: Open to Upperclass and Graduate Students. Undergraduates with junior or senior standing and 12 or more credit hours of work in mathematics and statistics may enroll in 5000-level courses with prior approval of the department chairperson.