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 Age^2	Time = exp (4.9078 + 0.017181 Age)
50%	Time = 1037.10–26.872 Age + 0.27113 Age^2	Time = exp (4.8508 + 0.019357 Age)
75%	Time = 1259.77–34.071 Age + 0.34075 Age^2	Time = exp (4.7608 + 0.022424 Age)
Women (n = 587)
Quantile	Quadratic model	Semilog model
25%	Time = 975.222–24.163 Age + 0.25293 Age^2	Time = exp (5.0279 + 0.017915 Age)
50%	Time = 1006.75–26.088 Age + 0.29046 Age^2	Time = exp (4.8820 + 0.021932 Age)
75%	Time = 639.46–14.587 Age + 0.21992 Age^2	Time = exp (4.9627 + 0.022685 Age)

Note. Quantiles are estimated using Stata’s bsqreg procedure with bootstrapped standard errors.