Table 1.
General linear model for determining the contribution of 50-, 100-, and 200-m events to top-10 world ranked performances in the 200-mIM. A positive β value indicates an improvement in performance, whereas a negative value indicates a reduction in performance.
| GLOBAL | |||||
|---|---|---|---|---|---|
| Estimate (β) | Std.Error | t value | p-value | R2 | |
| (Intercept) | 896 | 12 | 74 | <2e-16 † | 0.36 |
| Age | 0.52 | 0.5 | 0.99 | 0.32 | |
| N50 | 4.9 | 3.1 | 1.59 | 0.11 | |
| N100 | 7.5 | 2.0 | 3.79 | 0.0002 † | |
| N200 | 3.6 | 1.8 | 2.01 | 0.047* | |
| Over900_100 | 14.5 | 5.6 | 2.60 | 0.015* | |
| Over900_200 | 6.6 | 4.1 | 1.63 | 0.11 | |
| FEMALES | |||||
| (Intercept) | 909 | 19 | 48 | <2e-16 | 0.34 |
| Age | 0.16 | 0.9 | 0.19 | 0.85 | |
| n50 | 3.4 | 4.8 | 0.71 | 0.48 | |
| n100 | 8.8 | 3.2 | 2.8 | 0.01 | |
| n200 | 3.8 | 2.5 | 1.5 | 0.14 | |
| Over900_100 | 16 | 8.4 | 2.0 | 0.05 | |
| Over900_102 | 2.1 | 6.4 | 0.33 | 0.74 | |
| MALES | |||||
| (Intercept) | 878 | 18 | 46 | <2e-16 † | 0.41 |
| Age | 1.3 | 0.8 | 1.7 | 0.09 | |
| n50 | −7.5 | 5.4 | −1.4 | 0.17 | |
| n100 | 5.0 | 2.7 | 1.8 | 0.07 | |
| n200 | 4.9 | 2.8 | 1.7 | 0.09 | |
| Over900_100 | 12 | 7.8 | 1.7 | 0.10 | |
| Over900_200 | 9.6 | 5.6 | 1.7 | 0.09 | |
Note: R2: proportion of variance explained for 200-mIM competition performance; Age: age in years of each swimmer; n50: number of 50-m events scoring more than 800 FINA points; n100: number of 100-m events scoring more than 800 FINA points; n200: number of 200-m events scoring more than 800 FINA points; Over100_900: dichotomous variable with a value of 0 or 1. It depends on whether in any of the 100-m tests the score was higher than 900 FINA points or not; Over200_900: dichotomous variable with a value of 0 or 1. Significance. codes: †: p = 0.000; *: p < 0.05