Regression analysis model applied to age-group swimmers: 50m race component times analysis


  • Esther Morales Ortiz University of Granada, Spain
  • Raúl Arellano Colomina University of Granada, Spain



Performance development, Competition analysis, Technique testing, Freestyle


This investigation aimed to develop a regression model of the Race Component evolution in a large sample of regional age-group Spanish swimmers in 50 m freestyle. Subjects were 280 regional swimmers selected of different club (with an age range of 9 to 22 year) and the swimmers were divided into a five competitive categories. The time spent starting (ST), the time spent stroking (STT1 - STT2), the time spent turning (TT) and the time spent finishing (FT) were used for analysis. Inverse function approximation of the partials times by aging and was carried out. Furthermore, the analysis regression of partials times and event time for age and genders were calculated respectively. It seems that the times of swimmer studied have a tendency to resemble of internationals swimmer´s times. The estimation formula applied was different time according to gender. The crossing age in the swimming partials times were about 12-14 years old. At this age begin to differentiate the performed and swim times between boys and girls.


University of Granada, Physical Education and Sports Department, Research Group “CTS-527, Physical Activity and Sports in Aquatic Environment",


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How to Cite

Morales Ortiz, E., & Arellano Colomina, R. (2019). Regression analysis model applied to age-group swimmers: 50m race component times analysis. Journal of Human Sport and Exercise, 14(2), 315–324.



Performance Analysis of Sport