Table 5. Coefficients of regression on... | Emerald Publishing

Table 5.

Coefficients of regression on the predictor of the condition of slum environment

Model	Standardized coefficients
Model	Beta	Bootstrap (1000) Estimate of Std. Error	df	F	Sig.
Age	0.089	0.031	4	8.079	0.000*
Gender	0.112	0.085	4	1.716	0.145
Marital status	0.184	0.022	3	70.589	0.000*
Level of education	0.376	0.038	4	98.937	0.000*
Occupation	0.969	0.145	4	44.573	0.000*
Income	1.785	0.097	4	337.793	0.000*
Religion	0.107	0.151	4	0.507	0.731
Years of residency	0.051	0.023	1	4.879	0.028*
Nativity	0.041	0.018	3	5.466	0.001*
Household size	1.695	0.101	2	282.754	0.000*
Multiple R	0.914
R square	0.835
Adjusted R square	0.823

Model	Standardized coefficients
Model	Beta	Bootstrap (1000) Estimate of Std. Error	df	F	Sig.
Age	0.089	0.031	4	8.079	0.000*
Gender	0.112	0.085	4	1.716	0.145
Marital status	0.184	0.022	3	70.589	0.000*
Level of education	0.376	0.038	4	98.937	0.000*
Occupation	0.969	0.145	4	44.573	0.000*
Income	1.785	0.097	4	337.793	0.000*
Religion	0.107	0.151	4	0.507	0.731
Years of residency	0.051	0.023	1	4.879	0.028*
Nativity	0.041	0.018	3	5.466	0.001*
Household size	1.695	0.101	2	282.754	0.000*
Multiple R	0.914
R square	0.835
Adjusted R square	0.823

Note: Dependent variable = overall physical conditions of slum environment; *significant predictors (p < 0.05)

Source: Author’s fieldwork (2023)