Table 6. Regression model for winning probability based on stroke sequence in international competitions. |
Independent
variable |
β |
SE |
Wald χ2 |
p |
95%CI |
| (Intercept) |
-3.974 |
0.629 |
39.915 |
<
0.001 |
-5.207,-2.741 |
| S1 |
0.807 |
0.394 |
4.201 |
0.040 |
0.035,
1.578 |
| S2 |
0.714 |
0.215 |
10.999 |
<
0.001 |
0.292,
1.135 |
| S3 |
1.493 |
0.126 |
140.126 |
<
0.001 |
1.245,
1.740 |
| S4 |
1.568 |
0.349 |
20.220 |
<
0.001 |
0.884,
2.251 |
| S>3 |
3.403 |
0.259 |
173.169 |
<
0.001 |
2.896,
3.910 |
| S>4 |
1.697 |
0.938 |
3.269 |
0.071 |
-0.143,
3.536 |
|
|