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Table 4 Multiple Linear Regression for control group

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

Variable

Age

Body height

Body weight

BMI

RSE

m. R2

F

p

β

SE

β

SE

β

SE

β

SE

SIRT

RT [ms]

-0.54

2.17

2.12**

0.62

-3.15

1.57

8.77

5.19

43.19

0.98

400.10

0.0001

MT [ms]

5.11*

2.05

-0.08

0.58

2.93

1.48

-6.16

4.90

40.76

0.96

153.00

0.0001

CHORT

RT [ms]

3.03

3.54

2.78*

1.00

-1.86

2.56

10.42

8.46

70.42

0.99

632.30

0.0001

MT [ms]

3.72

2.26

0.64

0.64

2.04

1.63

-6.25

5.40

44.96

0.96

155.70

0.0001

c.r. [%]

-0.30

0.25

0.54***

0.07

-0.65***

0.18

2.40***

0.60

4.99

0.99

2376.00

0.0001

HECOR

RT [ms]

0.35

2.69

1.56

0.76

-2.50

1.94

12.72

6.43

53.49

0.98

378.90

0.0001

MT [ms]

5.05*

2.21

-0.04

0.63

3.03

1.60

-4.59

5.29

44.03

0.97

208.60

0.0001

SPANT

RT [ms]

1.39

4.47

2.79*

1.27

-4.92

3.23

17.39

10.68

88.95

0.98

277.50

0.0001

MT [ms]

1.51

2.73

1.69*

0.77

-0.75

1.97

-1.63

6.53

54.37

0.96

134.80

0.0001

c.r. [%]

-0.31

0.28

0.62***

0.08

-1.01***

0.20

2.97***

0.66

5.48

0.99

2073.00

0.0001

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