Table 7. Regression model for winning probability based on stroke techniques in training matches. |
Independent
variable |
β |
SE |
Wald χ2 |
p |
95%CI |
| (Intercept) |
-1.081 |
0.408 |
7.032 |
0.008 |
-1.880,-0.282 |
| SV |
0.954 |
0.198 |
23.274 |
<
0.001 |
0.566,
1.341 |
| TA |
0.352 |
0.067 |
27.576 |
<
0.001 |
0.221,
0.483 |
| PU |
1.143 |
0.413 |
7.684 |
0.006 |
0.335,
1.952 |
| TS |
1.104 |
0.175 |
40.000 |
<
0.001 |
0.762,
1.446 |
| BL |
0.689 |
0.458 |
2.257 |
0.133 |
-0.210,
1.587 |
| FL |
-0.087 |
0.381 |
0.052 |
0.820 |
-0.833,
0.660 |
| TW |
-0.019 |
0.344 |
0.003 |
0.955 |
-0.694,
0.655 |
| SM |
-0.881 |
0.635 |
1.928 |
0.165 |
-2.126,
0.363 |
| BP |
-0.031 |
0.093 |
0.110 |
0.740 |
-0.212,
0.151 |
|
|