Based on the Data Curve Fitting Field Events Forecast Application in Research Achievements

Today's overall grasp and prediction of the trend changes in sports scores, led this study to carry out the discus- sion that the athletes' obtaining reasonable suggestion is particularly important to fundamentally improve the comprehen- sive quality of track and field athletes performance. The Olympic Games is the big games, and the 'stand or fall' of achievements is the only measure of players performance. This study used Chinese sports yearbook collection of 28 ses- sions of four major jumping events of track and field events, respectively for the high jump, long jump, triple jump, pole vault and other 28 Olympic Games track and field sports performance analysis of the results using the least squares curve regression. A change curve is drawn, so as to describe the performance change trend, and forecast the coming Olympic Games performance. The regression curve is a simple and feasible way to forecast results.