Introduction to multivariate analysis. Elementary matrix algebra, multiple linear and curvilinear correlation and regression, analysis of variance, canonical correlation and regression, discriminant analysis, and several types of factor analysis.

Prerequisites/Rules:
GVPT622; or permission of instructor.
Credits: 3
Grading Method: Regular, Pass-Fail, Audit
Testudo Link: https://ntst.umd.edu/soc/search?courseId=GVPT&sectionId=&termId=201501&_openSectionsOnly=on&courseLevelFilter=GRAD&instructor=&teachingCenter=ALL&courseStartCompare=&courseStartHour=&courseStartMin=&courseStartAM=&courseEndHour=&courseEndMin=&courseEndAM=&creditCompare=&credits=&_classDay1=on&_classDay2=on&_classDay3=on&_classDay4=on&_classDay5=on

Course Offerings

Spring 2023 ♦ Instructor: Sarah Croco ♦ View: Syllabus
Spring 2022 ♦ Instructor: Sarah Croco ♦ View: Syllabus
Spring 2015 ♦ Instructor: David Cunningham ♦ Co-Instructor: William Reed ♦ View: Syllabus