Analysis of quantile regression for race time in standard distance triathlons

Junhui Zhao, Yongfang Ma and Xiaoxiao Hu

PLOS ONE, 2024, vol. 19, issue 11, 1-12

Abstract: Purpose: This study aims to quantitatively analyze the impact of split times on overall performance in standard distance triathlon events. It also examines how environmental factors such as water type, temperature, and altitude affect overall race outcomes. Methods: Quantile regression was employed to analyze the race records of 1,580 triathletes participating in 46 standard distance events in China. Results: Swim time significantly influences race performance among the top 50% of elite athletes (p

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0313496

DOI: 10.1371/journal.pone.0313496

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