Research Article
Gender and Age Patterns in NSGA Swim Competitions
Table 5
Quantile regression benchmarks.
| Men (n = 466) | Quantile | Quadratic model | Semilog model |
| 25% | Time = 769.30–17.994 Age + 0.19044 Age2 | Time = exp (4.9078 + 0.017181 Age) | 50% | Time = 1037.10–26.872 Age + 0.27113 Age2 | Time = exp (4.8508 + 0.019357 Age) | 75% | Time = 1259.77–34.071 Age + 0.34075 Age2 | Time = exp (4.7608 + 0.022424 Age) | Women (n = 587) | Quantile | Quadratic model | Semilog model | 25% | Time = 975.222–24.163 Age + 0.25293 Age2 | Time = exp (5.0279 + 0.017915 Age) | 50% | Time = 1006.75–26.088 Age + 0.29046 Age2 | Time = exp (4.8820 + 0.021932 Age) | 75% | Time = 639.46–14.587 Age + 0.21992 Age2 | Time = exp (4.9627 + 0.022685 Age) |
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Note. Quantiles are estimated using Stata’s bsqreg procedure with bootstrapped standard errors.
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