Estimation and inference for regression models. Topics include: least squares estimation; models comparisons; estimation of validity of model assumptions and remedial measures; simple linear, multiple linear, non-linear and logistic regression; and dummy variables. Prerequisite: 3 to 4 hours in any other Statistics course. Odd years Fall.