Project

Correlation graph project

For this project I wanted to see if there was a correlation between the average cost of a college and how successful their cross country team was. For my first graph I used a variety of the Division 3 UW schools. Taking my information from the 2018 division 3 women’s NCAA championship meet, I documented the average 6k times of each team. I then put the times into Google Sheets, and found those college’s average cost of attendance after financial aid.

Once putting this into a graph, I saw there was a slight correlation: the more a college costed, the faster their team’s average 6k race time was.

I wanted to find out some different information though, because there was such a slight difference.

Using the 2018 division 1 women’s NCAA championship meet for my second graph, I took my information from all different kinds of colleges, trying to use the most and least expensive ones. This time I decided to take the team’s score for the meet instead of their average 6k time. I again found those college’s average cost after aid and created a graph.

This graph proved to have very little correlation, but did show that the most successful teams are from the colleges of middle range cost.

Here are the graphs: https://docs.google.com/spreadsheets/d/1enkWLv5U7C3D0TEAPhTVfkSV8kx5SS8HXzWb8Ev58LU/edit?usp=sharing

**the lower the time/score of a team, the better they did