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 |