Table 2. Backward stepwise linear regression analyses to assess the potential relationships with swimming performance and to evaluate which group of parameters (i.e., anthropometrical, physiological, biomechanical) best characteriz swimming performance. Multiple linear regression (MLR) models using the backward stepwise procedure were developed entering all variables.
| Variables |
Variables entered in model |
R2 |
Adjusted R2 |
t |
p |
F |
p |
| Biomechanical |
SR, SI |
.911 |
.903 |
19.902 |
.000 |
(2;24) = 112.87 |
.000 |
| Anthropometrical |
Arm span, height, bone mass, spine bone mineral density |
.559 |
.458 |
4.115 |
.001 |
(4;16) = 5.503 |
.012 |
| Physiological |
∆La, La3, La5, Cs |
.551 |
.452 |
4.558 |
.000 |
(4;22) = 5.531 |
.004 |
| In all variables |
SR, SI |
.936 |
.926 |
16.867 |
.000 |
(2;15) = 94.412 |
.000 |
