The influence of selected anthropometric parameters on psychomotor abilities among professional Rugby Union players

Table 3 Multiple Linear Regression for rugby players

Variable	Age		Body height		Body weight		BMI		RSE	m. R²	F	p
Variable	β	SE	β	SE	β	SE	β	SE	RSE	m. R²	F	p
SIRT
RT [ms]	2.11	1.59	1.66***	0.30	-0.79	1.10	2.27	3.15	34.15	0.99	598.40	0.0001
MT [ms]	2.11	1.77	0.38	0.34	0.20	1.23	0.18	3.51	38.05	0.95	95.63	0.0001
CHORT
RT [ms]	4.82	3.16	2.15**	0.60	0.90	2.19	1.43	6.26	67.82	0.99	548.30	0.0001
MT [ms]	3.17	1.86	0.20	0.36	0.66	1.29	-0.95	3.69	35.95	0.96	101.30	0.0001
c.r. [%]	-0.03	0.64	0.87***	0.12	-0.53	0.45	-0.56	1.27	13.79	0.98	241.20	0.0001
HECOR
RT [ms]	-0.22	1.59	2.32***	0.30	-0.88	1.10	2.78	3.16	34.18	0.99	820.20	0.0001
MT [ms]	1.16	1.43	0.80**	0.27	0.61	0.99	-1.38	2.83	30.68	0.98	249.50	0.0001
SPANT
RT [ms]	5.99	3.69	0.81	0.71	1.40	2.56	5.01	7.31	79.16	0.99	337.30	0.0001
MT [ms]	2.46	2.01	0.65	0.38	-0.39	1.39	2.57	3.98	43.16	0.97	153.40	0.0001
c.r. [%]	-0.01	0.41	0.80***	0.08	-0.65*	0.28	0.35	0.80	8.71	0.99	628.10	0.0001

\(\beta\) – unstandardized beta; SE – standard error; RSE – Residual Standard Error;
F – the ratio of the mean regression sum of squares divided by the mean error sum of squares;
m. \(R^2\) – multiple R-squared; * – \(p<0.05\); ** – \(p<0.01\); *** – \(p<0.001\)

ISSN: 2052-1847