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Regression analysis as a flexible statistical problem solving methodology. Matrix review; variable selection; prediction; multicolinearity; model diagnostics; dummy variables; logistic and non-linear regression. Emphasizes use of computer.

Prerequisites: (ST 305 or ³§°ÕÌý312 or ³§°ÕÌý372) and ³§°ÕÌý307 and (²Ñ´¡Ìý303 or ²Ñ´¡Ìý305 or ²Ñ´¡Ìý405)

Typically offered in Fall and Spring