Optimization and Development of College Students' Physical Health Evaluation

Abstract

Based on the data collected by using linear fitting method, the relationship between various
factors and weight by 6 relation, and put each formula MATLAB to make the image and
observe the image we get the weight and the relationship between various factors are skewed
normal distribution, combined with the relation that between 90 and 100 kg weight, height and
lung capacity test scores, best weight steps during 70 to 90 kg, long jump and grip strength test
results, the best girl test ZuoWeiTi proneness. For correlation coefficient with the grey
correlation method, calculate the weight, then the percentile method combined with average,
standard deviation for a relatively standard four test data, the last measured data divided by each
physical health with the student test scores and reach by the weight of their respective scores
respectively, and then prioritize, scoring supposed to pass, by the sort of student performance,
take place to distinguish between grades, higher than the result is pass, or fail, so that you can
quantify physical health indicators.