Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience in linear model building on real data sets. Prerequisite: recommended: Linear Algebra.
MATH.3850 Applied Statistics, or MATH.4860 Probability and Mathematical Statistics, or MATH.5880 Mathematical Statistics.