Id: 008463 Credits Min: 3 Credits Max: 3

Description

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.

Prerequisites

MATH.3850 Applied Statistics, or MATH.4860 Probability and Mathematical Statistics, or MATH.5880 Mathematical Statistics.

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