Abstract

Every year millions of people attempt to predict the NCAA Men’s Division I Basketball Tournament. With over 18 quintillion combinations, getting it exactly right is improbable. However, my plan is to use statistical methods to predict the tournament as accurately as possible. My project focuses on creating a formula using multiple linear regression to predict each teams’ tournament fate. The data used in this project was collected from the years 2009-2012. The regression equation uses a team’s statistics to predict their tournament success. By putting all the statistics into the regression equation I will be able to make predictions about not only the 2013 NCAA tournament, but future tournaments as well.

Semester/Year of Award

Spring 2013

Mentor

Daniel J. Mundfrom

Mentor Department Affiliation

Mathematics and Statistics

Access Options

Restricted Access Thesis

Document Type

Bachelor Thesis

Degree Name

Honors Scholars

Degree Level

Bachelor's

Department

Mathematics and Statistics

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