Bus Modeling Using Regression

1.5 Credits · Level: Graduate, Undergraduate

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.