Table 2.
Summary of results of logistic and linear regression models
| Coefficients | Estimate | Std. Error | z value | Pr(>|z|) | |
|---|---|---|---|---|---|
| Logistic regression model |
Intercept |
−0.128 |
0.292 |
−0.436 |
0.663 |
| |
No. of molluscicide application times |
0.415 |
0.065 |
−6.376 |
<0.001 |
| |
Medium Density |
0.036 |
0.285 |
0.127 |
0.899 |
| |
High Density |
−0.101 |
0.262 |
−0.386 |
0.699 |
| Linear regression model |
Intercept |
−4.339 |
0.134 |
−32.478 |
<0.001 |
| |
No. of molluscicide application times |
0.415 |
0.042 |
−5.021 |
0.001 |
| |
Medium Density |
−0.093 |
0.116 |
−0.802 |
0.445 |
| High Density | 0.054 | 0.116 | 0.465 | 0.654 |
Note: *Statistical significant coefficients are shown in bold.