Applied Regression Models

Catalog description

Focuses on statistical foundations of decision making processes. Topics may include multiple linear regression, models for quantitative and qualitative predictors, building regression models, autocorrelation, non-linear regression, piecewise linear regression, inverse prediction, weighted least squares, ridge regression, robust regression and non-parametric regression.