[Retracted] Risk Assessment and Prediction of Rainstorm and Flood Disaster Based on Henan Province, China
Table 3
Results of logistic correlation regression analysis.
Indices
B
S.E.
Wald
df
Significance level
Exp (B)
Confidence interval 95% exp (B)
Lower limit
Upper limit
J1
5.216
2.767
2.314
1
0.000
1.355
0.627
2.326
J2
4.507
1.936
2.132
1
0.000
5.236
3.022
7.658
J3
2.064
0.216
18.125
1
0.024
0.235
0.029
2.157
J4
1.672
0.652
2.921
1
0.036
1.229
0.158
2.192
Z1
−0.056
0.108
0.725
1
0.213
0.002
—
—
Z2
−1.249
8.254
0.452
1
0.000
0.025
0.012
0.704
Z3
−2.353
0.832
19.831
1
0.000
0.037
0.005
0.236
Z4
0.237
1.602
1.374
1
0.035
1.368
0.529
2.871
S1
1.203
0.362
0.257
1
0.016
0.765
0.233
1.986
S2
0.075
1.206
0.034
1
0.107
0.013
—
—
S3
−1.215
3.371
1.562
1
0.047
1.103
0.716
4.965
S4
2.127
0.762
5.261
1
0.022
0.125
0.062
2.185
K1
1.862
0.935
2.317
1
0.028
0.757
0.214
2.166
K2
−0.051
0.236
0.965
1
0.154
0.006
—
—
K3
−1.239
7.362
1.322
1
0.012
1.667
0.971
3.492
Constant term
3.653
0.368
197.532
1
0.000
0.042
—
—
Note. B represents the logistic regression coefficient; Exp(B) is the odds ratio, which reflects the influence of each evaluation factor on the risk; SE is the standard error, which indicates the average error of the estimated value; Wald is a statistic used to test whether the independent variable has an impact on the dependent variable; df is the degree of freedom; “—” means no data.
