Table 4.
Logistic regression results.
| Variable | B | S.E | Wald | Df | Sig. | Exp(B) |
|---|---|---|---|---|---|---|
| Race | 2025.8 | 3 | 0 | |||
| Coloured | −0.846 | 0.059 | 208.759 | 1 | 0 | 0.429 |
| Indian | −2.127 | 0.11 | 370.972 | 1 | 0 | 0.119 |
| White | −3.297 | 0.081 | 1658.103 | 1 | 0 | 0.037 |
| Age of household | 0.003 | 0.001 | 6.617 | 1 | 0 | 1.003 |
| Household size | 0.104 | 0.009 | 120.774 | 1 | 0 | 1.109 |
| House ownership | −0.358 | 0.04 | 78.567 | 1 | 0 | 0.699 |
| Gender/female | 0.494 | 0.039 | 159.909 | 1 | 0 | 1.639 |
| Constant | 1.006 | 0.075 | 179.677 | 1 | 0 | 2.734 |
Model Summary Step: Two-log likelihood = 19,055.728a; Cox and Snell R square = 0.175; Nagelkerke R square = 0.260. Omnibus tests of model coefficients: chi-square step = 3962.467; block = 3962.467; model = 3962.467; df 7 Sig = 0.000. Source: Author’s manipulation.