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STAT 628 Applied Regression Analysis 3.0 Credits

Covers techniques used in simple and multiple regression analysis, including residual analysis, assumption violations, variable selection techniques, correlated independent variables, qualitative independent and dependent variables, polynomial and non-linear regression, regression with time-series data and forecasting. Applications related to business decision-making will be emphasized.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: STAT 601 [Min Grade: B-] or STAT 610 [Min Grade: B-] or STAT 510 [Min Grade: B-]

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