Table 8. Coefficients of the multidimensional binary logistic regression model.
| Variable ¶ |
β |
SE |
Wald |
df |
p |
Odds Ratio [95% CI] |
| Familial support |
1.45 |
0.49 |
8.75 |
1 |
< .01 |
4.24 [1.63; 11.05] |
| Technical skills |
1.10 |
0.47 |
5.54 |
1 |
.02 |
3.00 [1.20; 7.48] |
| General motor performance |
-0.99 |
0.48 |
4.22 |
1 |
.04 |
0.37 [0.15; 0.96] |
| Psychological characteristics |
0.54 |
0.49 |
1.20 |
1 |
.27 |
1.71 [0.66; 4.43] |
| Maturation |
0.48 |
0.48 |
0.99 |
1 |
.32 |
1.61 [0.63; 4.14] |
| Training history |
0.07 |
0.29 |
0.05 |
1 |
.82 |
1.07 [0.60; 1.90] |
| Constant |
-2.21 |
0.38 |
33.33 |
1 |
|
0.11 |
¶Variables ranked by absolute value of beta coefficients.
