MATH.5910 Linear Statistics Modeling and Regression (Formerly 92.591)

Id: 008463 Credits: 3-3

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.

View Current Offerings

Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.