Files

Download

Download Poster (301 KB)

Abstract

This study is done to create a regression prediction model that regresses several variables of data involved with NHL players from the 2018 season in order to predict the players’ point outcomes. By use of regression statistics, variables not meeting the criteria are filtered out of the model. The variables used in the model are those that are highly correlated with the outcome variable and meet the statistical requirements for model inclusion.

Publication Date

10-5-2018

Keywords

Learning

Disciplines

Scholarship of Teaching and Learning

NHL Hockey Players Point Outcome Predictions

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.