%0 Journal Article
%T Correlation Among Different Variables and Life Expectancy
%A June Liu
%J Undergraduate Journal of Mathematical Modeling : One + Two
%D 2011
%I University of South Florida
%R 10.5038/2326-3652.3.2.2
%X 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.
%K Life expectancy
%K Heart Rate
%K Blood Pressure
%K Weight
%U http://scholarcommons.usf.edu/ujmm/vol3/iss2/2