Table 5. Regression model for winning probability based on stroke sequence in training matches. |
Independent
variable |
β |
SE |
Wald χ2 |
p |
95%CI |
| (Intercept) |
-3.182 |
0.630 |
25.511 |
<
0.001 |
-4.417,-1.947 |
| S1 |
0.708 |
0.210 |
11.389 |
<
0.001 |
0.297,
1.119 |
| S2 |
1.680 |
0.277 |
36.699 |
<
0.001 |
1.137,
2.224 |
| S3 |
1.741 |
0.223 |
60.824 |
<
0.001 |
1.303,
2.178 |
| S4 |
1.702 |
0.329 |
26.691 |
<
0.001 |
1.056,
2.347 |
| S>3 |
1.414 |
0.892 |
2.511 |
0.113 |
-0.335,
3.162 |
| S>4 |
0.982 |
1.173 |
0.701 |
0.402 |
-1.316,
3.280 |
|
|