Table 3.
Binary logistic regression models on self-disposal of household waste
| Model 1 | Model 2 | |
|---|---|---|
| α |
− 0.434 (0.341) |
1.904** (0.737) |
| Increase in household waste |
0.325 (0.368) |
0.938** (0.293) |
| Change in collection schedule |
1.864*** (0.378) |
− 0.335 (0.267) |
| Proximity to landfill |
0.688* (0.362) |
− 0.142 (0.234) |
| Practice recycling |
− 0.724** (0.341) |
− 1.557*** (0.363) |
| Located in Georgetown |
− 0.486 (0.341) |
– |
| Located in Lagos | – |
− 0.942** (0.415) |
| Located in Oyo State | – |
0.033 (0.312) |
| Cox and Snell R Square | 0.205 | 0.312 |
| Nagelkerke R Square | 0.299 | 0.438 |
|
Hosmer and Lemeshow p value |
0.523 | 0.615 |
Model 1 presents the analysis for the LOGIT model for Guyana and Model 2 presents the analysis for the LOGIT model for Nigeria; values in () are the std. errors for the coefficients
*Indicates 10% significance; the Cox and Snell and Nagelkerke R Square and Hosmer and Lemeshow test are goodness of fit diagnostic measures
**Indicates 5% significance
***Indicates 1% significance