Intelligent Assessment of Athletes' Physical Fitness Data and Optimization of Physical Education Teaching and Training Strategies in the Framework of Multivariate Statistical Analysis
DOI:
https://doi.org/10.70917/ijcisim-2026-0207Keywords:
correlation analysis; regression model; physical education training; athletesAbstract
Athletes' physical fitness evaluation is not only an important part of sports work, but also an important part of school education evaluation system. This study carries out a multivariate statistical analysis between the various scores of athletes' sports test and the total score, establishes the regression equation between the total score and the physical form and function, and carries out an intelligent evaluation of athletes' physical quality through the regression model. At the same time, the factors affecting athletes' physical quality were explored based on the regression equation. After analyzing, athletes' physical quality can be assessed based on Athletes' physical quality=67.632+0.163×T1-0.263×T2+0.063×T3. Athletes' physical quality is mainly affected by individual factors and school factors. In this regard, this paper puts forward the optimization strategy of sports teaching and training from three aspects: cultivation mode, teaching method and evaluation mechanism. This is of great practical significance to improve athletes' health and physical quality.
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Copyright (c) 2026 Yefei Zhang, Chunlin Qin

This work is licensed under a Creative Commons Attribution 4.0 International License.