Table 1.

Descriptors of the regression model

Model summarya
Dependent variable		R	R square	Adjusted R square	Std. error of the estimate	Durbin-Watson
THE		0.956b	0.914	0.901	0.00750	2.148
ANOVAb
Model		Sum of squares	df	Mean square	F	Sig.
1	Regression	0.016	4	0.004	69.241	0.000a
	Residual	0.001	26	0.000
	Total	0.017	30

^aPredictors: (constant), Indicator, Sum_HW_lag_4, SP, Population_lag_4

^bDependent variable: THE total health expenditure