STAT 51200 - Applied Regression Analysis

Prerequisite(s): STAT 51100 FOR LEVEL GR WITH MIN. GRADE OF C- OR STAT 51700 FOR LEVEL GR WITH MIN. GRADE OF C-

Credit Hours: 3.00. Inference in simple and multiple linear regression, residual analysis, transformations, polynomial regression, model building with real data, nonlinear regression. One-way and two-way analysis of variance, multiple comparisons, fixed and random factors, analysis of covariance. Use of existing statistical computer programs. Prerequisite: Coursework in Statistical Methods with a calculus prerequisite. Typically offered Fall Spring Summer.

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