Van Schuylenbergh et al. (A-9) used physiological and anthropometric measurements as independent variables to predict triathlon performance

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Van Schuylenbergh et al. (A-9) used physiological and anthropometric measurements as independent variables to predict triathlon performance (expressed in minutes). Ten triathletes underwent extensive physiological testing in swimming, cycling, and running. Within 2 weeks after the last laboratory test, all subjects competed in the National University Triathlon Championship. The final regression model was in which triathlon performance in minutes, the running speed at MLSS (m/s), the swimming speed at MLSS, and blood lactate concentration at running MLSS (mmol/L). MLSS refers to maximal lactate steady state and is generally acknowledged to be a good marker of functional aerobic power during prolonged exercise. It also differs for each physical activity. For the above model

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