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Table 2 Analysis of deviance for the logistic regression model fitted with predictors added sequentially

From: Socio-economic and demographic impacts on the full awareness of the methods for controlling/preventing the spread of COVID-19 among social media users in some African countries at the onset of the pandemic

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
  1. aSignificance level: \(0.1\%^{\star \star \star }\), \(1.0\%^{\star \star }\), \(5.0\%^\star\), \(10.0\%^{\mathbf {\cdot }}\)