Table 3.

Logistic regression model outlining determinants predicting having heard of HPV previously.

Heard of HPV—Binary Logistic Regression (LR)
Model Terms		${\mathbf{e}}^{{\mathbf{\beta }}_{\mathbf{i}}}$	95% CI	SE	z-Statistic	p Value
$\mathrm{Intercept} \mathbf{\left(}{\mathbf{\beta }}_0\mathbf{\right)}$		0.475	0.252–0.895	0.324	−2.302	0.021
Sex (p-value: <0.0005)	Male	-	-	-	-	-
	Female	1.700	1.161–2.489	0.195	2.727	0.006
Residence (p-value: <0.0005)	Rural	-	-	-	-	-
	Urban	2.038	1.197–3.469	0.271	2.623	0.009
Faculty (p-value: 0.006)	Natural and Life Sciences	-	-	-	-	-
	Economics	0.412	0.259–0.654	0.236	−3.755	<0.0005
	Humanities	0.482	0.327–0.710	0.198	−3.694	<0.0005
	Medical Sciences	2.452	1.223–4.918	0.355	2.525	0.012
	Sciences and Technology	0.286	0.168–0.484	0.269	−4.653	<0.0005
Log-Likelihood: −453.78	Log-Likelihood of Null Model: −493.48		Log-Likelihood Ratio p value: <0.0005

Rows with significant p values are bolded. Please note that the p-value of the chi-squared testing is added below the variables.