Logistic regression model – Model 1
| Model 1 | Estimated reg. Par. | Estimated odds ratio | Std. Error | z-value | Pr (>|z|) |
|---|---|---|---|---|---|
| (Intercept) | 0.8014 | 0.2035 | 3.939 | 8.19E−05 | |
| C (conspicuous) | 0.1542 | 1.1667 | 0.3111 | 0.496 | 0.62 |
| Model 1 | Estimated reg. Par. | Estimated odds ratio | Std. Error | z-value | Pr (>|z|) |
|---|---|---|---|---|---|
| (Intercept) | 0.8014 | 0.2035 | 3.939 | 8.19E−05 | |
| C (conspicuous) | 0.1542 | 1.1667 | 0.3111 | 0.496 | 0.62 |
| Model 1 | 95% confidence interval (lower and upper limits) | |||
|---|---|---|---|---|
| Estimated reg. Par. | Estimated odds ratio | |||
| C (conspicuous) | −0.4527 | 0.7705 | 0.6359 | 2.1609 |
| Model 1 | 95% confidence interval (lower and upper limits) | |||
|---|---|---|---|---|
| Estimated reg. Par. | Estimated odds ratio | |||
| C (conspicuous) | −0.4527 | 0.7705 | 0.6359 | 2.1609 |
Source(s): Authors’ own work
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