Regression analysis reveals the contribution of performance attributes to final race times in world-ranked sprinters, highlighting the need to identify stronger predictive variables.
Given the slogan "Faster, Higher, Stronger", which inspires athletes to win and set new records, unfortunately, today it is impossible without data and figures. Therefore, the article presents the results of theoretical and experimental studies aimed at finding and analyzing the factors that most affect the final sports result of athletes in sprinting. Based on the world ranking as of 2023, 3000 records were selected and analyzed. The authors have created a unique dataset of 7 attributes. In the paper, the authors emphasize the need to prepare the obtained records for mathematical analysis. It was found that out of 3000 records, 1278 were valid, which became the basis for the application of multiple linear regression. It is emphasized that it was the use of regression that made it possible to identify the contribution of each independent variable to the variation of the dependent variable. The author concludes that there is a need for further search for factors that have a much greater impact on the final sports result.
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Chukhlovina et al. (2024) studied this question.
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