Original Articles: 2014 Vol: 6 Issue: 3
Field events performance prediction applied research based on data curve fitting
It is particularly important to seize and predict the total changing trend of sporting performance and achieve reasonable suggestions through exploring of athlete’s qualities in modern times. The sole measurement criteria to athlete is their results achieved in Olympic Games or other large scaled games by fundamentally improved their integrated qualities. This study utilized 28 sessions field events performances collected from “Chinese Sports Almanac”, made respectively analysis of 28thOlympic games athletics performance as high jump, long jump, triple jump and pole vault, made curve regression of such performance with generalized least squares, and got changing curve so as to describe performance changing trend as well as made prediction to future sessions of Olympic games performance. Regression curve is the simple and feasible method to predict performance.