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Table 4 Collinearity test results of independent variables

From: Can health service equity alleviate the health expenditure poverty of Chinese patients? Evidence from the CFPS and China health statistics yearbook

Model Unstandardized Coefficients Standardized Coefficients t Sig. 95.0% Confidence Interval for B Correlations Collinearity Statistics
B Std. Error Beta Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
Constant −.005 .307   −.015 .988 −.712 .703      
X1 1.610 4.764 .210 .338 .744 −9.375 12.595 .238 .119 .052 .060 16.543
X2 .057 .110 .244 .519 .617 −.197 .311 .691 .181 .079 .106 9.434
X3 1.344 4.349 .239 .309 .765 −8.685 11.372 .318 .109 .047 .039 25.646
X4 .019 .029 .439 .672 .520 −.047 .085 −.407 .231 .103 .055 18.298
X5 −.005 .084 −.025 −.056 .956 −.198 .188 .714 −.020 −.009 .123 8.106
X6 .000 .002 .027 .107 .917 −.004 .004 .165 .038 .016 .370 2.700
X7 .098 .088 .703 1.118 .296 −.104 .300 .536 .368 .171 .059 16.946
X8 −.044 .278 −.061 −.158 .878 −.685 .597 .349 −.056 −.024 .158 6.323
X9 1.640E-5 .000 .651 .663 .526 .000 .000 −.590 .228 .101 .024 41.416
X10 .000 .000 −.563 −.969 .361 −.001 .000 −.513 −.324 −.148 .069 14.462
X11 −.001 .001 −.396 −.805 .444 −.003 .001 .206 −.274 −.123 .096 10.385
X12 −57.232 82.741 −.283 −.692 .509 − 248.032 133.569 −.062 −.238 −.106 .139 7.189
X13 .004 .004 .386 .867 .411 −.006 .013 .588 .293 .132 .118 8.485
X15 −.004 .005 −.296 −.716 .494 −.015 .008 .316 −.246 −.109 .137 7.300
X16 −1.808E-5 .000 −.627 −1.064 .319 .000 .000 −.623 −.352 −.162 .067 14.903
X17 −5.482E-5 .001 −.040 −.047 .964 −.003 .003 .474 −.017 −.007 .032 31.421
X18 1.547E-5 .000 .010 .040 .969 −.001 .001 −.167 .014 .006 .381 2.625
X19 −.007 .113 −.030 −.060 .954 −.267 .254 .237 −.021 −.009 .092 10.825
X20 .011 .022 .148 .511 .623 −.040 .063 .130 .178 .078 .278 3.598