Date of Completion

2020

Document Type

Honors College Thesis

Department

Mathematics and Statistics

Thesis Type

Honors College

First Advisor

Bernard Cole

Keywords

statistics, basketball, score, regression, predict, linear

Abstract

Every year the University of Vermont Women’s Basketball team plays 16 games for the America East Conference. Data was collected over two seasons to create a prediction model for the score of a game. Zone percentages were collected in addition to typical basketball statistics. Variables in the model were first picked based on linearity, then finalized using Akaike’s Information Criterion. The resulting linear model is evaluated in R. This model is intended to help the UVM Women’s Basketball Team understand the most important factors of their games.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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