Table 8. Regression model for winning probability based on stroke techniques in international competitions. |
| Independent variable |
β |
SE |
Wald χ2 |
p |
95%CI |
| (Intercept) |
-1.151 |
1.407 |
0.670 |
0.413 |
-3.909,
1.606 |
| SV |
1.206 |
0.210 |
30.939 |
<
0.001 |
0.794,
1.617 |
| TA |
0.468 |
0.120 |
15.273 |
<
0.001 |
0.233,
0.702 |
| PU |
0.990 |
0.265 |
13.983 |
<
0.001 |
0.471,
1.509 |
| TS |
-0.029 |
0.309 |
0.009 |
0.925 |
-0.634,
0.576 |
| BL |
0.468 |
0.346 |
1.835 |
0.175 |
-0.209,
1.146 |
| FL |
0.549 |
0.324 |
2.865 |
0.091 |
-0.087,
1.184 |
| TW |
-0.161 |
0.451 |
0.128 |
0.720 |
-1.044,
0.722 |
| SM |
-0.365 |
2.860 |
0.016 |
0.898 |
-5.970,
5.240 |
| BP |
0.209 |
0.098 |
4.611 |
0.032 |
0.018,
0.401 |
|
|