Correlation Among Different Variables and Life Expectancy

Authors

June Liu, University of South Florida

Publication Year

2011

Abstract

The purpose of this project is to show how heart rate, blood pressure, and weight of different species correlate with their life expectancy. We perform graphical analysis and compute Pearson's Product-Moment Correlation Coefficient to show that the heart rate has the highest degree of correlation with life expectancy.

Recommended Citation

Liu, June (2011) "Correlation Among Different Variables and Life Expectancy," Undergraduate Journal of Mathematical Modeling: One + Two: Vol. 3: Iss. 2, Article 2.
DOI: http://dx.doi.org/10.5038/2326-3652.3.2.2
Available at: https://digitalcommons.usf.edu/ujmm/vol3/iss2/2

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.