. 2020 Dec 17;17(24):9464. doi: 10.3390/ijerph17249464

Table 3.

Multivariate Regression Analysis (MRA) statistics results with the multiple equation models of athletes’ performance prediction by body composition characteristics—Model Summary.

Model	Dependent Variable	Predictors (Variable, t And p Values)	R	R²	Adj. R²	SEE	ANOVA
Model	Dependent Variable	Predictors (Variable, t And p Values)	R	R²	Adj. R²	SEE	F Relation	p Value
Male	FINA_Score	PFI (1.58, 0.123), BM (2.28, 0.028), PSMM (2.03, 0.049), BH (−2.20, 0.034), IBC (−1.56, 0.126), SMMI (−1.72, 0.093)	0.662	0.438	0.351	57.48	5.06	0.001
Female	FINA_Score	PFI (2.66, 0.013), BM (2.19, 0.037), BMI (−2.28, 0.030), FFMI (2.50, 0.019), PSMM (2.88, 0.008), IBC (−2.60, 0.015), PBF (3.00, 0.006)	0.895	0.801	0.751	55.99	16.10	0.000
Multiple equation models of athletes’ performance prediction by body composition characteristics for male and female swimmers
Male	FINA score_M = 5884.616 − (BH × 65.548) + (BM × 74.835) + (PSMM × 116.793) − (SMMI × 411.608) − (IBC × 268.620) + (PFI • 316.588)
Female	FINA score_F = −12241.319 + (BM × 6.225) − (BMI × 716.712) + (PBF × 272.470) + (PSMM × 111.570) + (FFMI × 1051.171) − (IBC × 2253.208) + (PFI × 2359.262)