Table 4. Results of the different regression analysis.

Variables	OLS	SLM	SEM
Population living in the urban area	-20.51 (0.63)	-21.84(0.60)	-35.49 (0.33)
Households having access to improved sanitation	32.41 (0.67)	28.72(0.69)	38.74 (0.55)
Household having access to improved water source	0.016 (0.82)	0.0136(0.84)	0.0084 (0.89)
Households living under poverty	-9.66(0.90)	-16.77 (0.82)	-36.12 (0.59)
Distance from waterbodies	-0.00057(0.96)	-0.0014 (0.90)	-0.0067 (0.53)
Multicollinearity condition number	61136	-	-
Lag coefficient	-	0.18 (0.23)	0.40 (.0003)
Akaike Information Criteria (AIC)	318.371	319.562	314.778
R-square	0.0906	0.1074	0.1691

OLS = Ordinary Least Square regression, SLM = Spatial Lag regression Model, SEM: Spatial Error regression Model