Table 2 Analysis of deviance for the logistic regression model fitted with predictors added sequentially
Terms | Degree of freedom | Deviance | Residual degree of freedom | Residual deviance | \(\Pr \left( >\chi ^2\right)\)a |
|---|---|---|---|---|---|
− |  |  | 537 | 744.44 |  |
Age | 1 | 228.537 | 536 | 515.90 | \({<2.2\times 10^{-16}}^{\star \star \star }\) |
Gender | 1 | 8.452 | 535 | 507.45 | \(0.0036^{\star \star }\) |
Location | 1 | 20.423 | 534 | 487.03 | \({6.2\times 10^{-6}}^{\star \star \star }\) |
No. of. Social.Media | 1 | 6.075 | 533 | 480.95 | \(0.0137^{\star }\) |
Education::MSc | 1 | 2.740 | 532 | 478.21 | \(0.0979 ^{\mathbf {\cdot }}\) |
Education::PhD | 1 | 1.478 | 531 | 476.74 | 0.2242 |
Education::BSc | 1 | 15.239 | 530 | 461.50 | \({9.4\times 10^{-5}}^{\star \star \star }\) |
Education::Secondary | 1 | 0.049 | 529 | 461.45 | 0.8242 |
Education::None | 1 | 0.341 | 528 | 461.11 | 0.5594 |
Education::Primary | 1 | 1.307 | 527 | 459.80 | 0.2530 |
Occupation::Employed– | 1 | 8.041 | 526 | 451.76 | \(0.0046^{\star \star }\) |
Occupation::Professional | 1 | 1.833 | 525 | 449.93 | 0.1758 |
Religion::Islam | 1 | 2.627 | 524 | 447.30 | 0.1050 |
Religion::Traditional | 1 | 3.043 | 523 | 444.26 | \(0.0811^{\mathbf {\cdot }}\) |
Religion::Buddhism | 1 | 3.292 | 522 | 440.96 | \(0.0696^{\mathbf {\cdot }}\) |
Religion::Hinduism | 1 | 0.160 | 521 | 440.80 | 0.6896 |