STAT 504
Applied Regression
4.0 credits
Course Description
Least squares estimation. Hypothesis testing. Interpretation of regression coefficients. Categorical independent variables. Interactions. Assumption violations: outliers, residuals, robust regression; nonlinearity, transformations, ACE, CART; nonconstant variance. Variable selection and model averaging. Course overlaps with: STAT 507. Prerequisite: either STAT 342, STAT 390, STAT 421, STAT 509/CSSS 509/ECON 580, or SOC 505. Offered: jointly with CSSS 504.