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|OPIM 573 - Regression Analysis|
This course provides the advanced yet extremely applied perspective on business statistics. Two specific topics account for the majority of its content: regression analysis and analysis of variance. Additional topics include deviating from model assumptions, multicollinearity, transformations, residuals and lack of fit, heteroscedasticity, detecting outliers/influential outliers: Jack Knife, detecting residual correlation: Durbin-Watson test, piece-wise linear regression, inverse prediction, and weighted least squares.
1.500 Credit hours
1.500 Lecture hours
0.000 Lab hours
Levels: MN or MC Graduate, Undergraduate
Schedule Types: Lecture
Operations & Information Mgmt Department
Must be enrolled in one of the following Degrees:
Master of Business Admin.
Must be enrolled in one of the following Classifications:
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