Variable Y | Coef. | Std. | Err. | Z | P > |z| | [95%Conf.Interval] |
Variable X1 share of secondary sector | 1.90075 | 0.49223 | 3.86 | 0.000 | 0.93598 | 2.86551 |
Variable X2 GDP per capita | −0.00045 | 0.00016 | −2.83 | 0.005 | −0.00079 | −0.00014 |
Variable X3 population density | 0.00091 | 0.00160 | 0.57 | 0.570 | −0.00223 | 0.00405 |
Variable X4 number of urban population at the end of the year | −0.00488 | 0.05630 | −0.09 | 0.931 | −0.11524 | 0.10547 |
Variable X5 area of built-up area | 0.09535 | 0.05835 | 1.63 | 0.102 | −0.01902 | 0.20972 |
Variable X6 green coverage of built-up areas | −1.12972 | 0.81259 | −1.39 | 0.164 | −2.72236 | 0.46293 |
_cons | 49.60939 | 39.08255 | 1.27 | 0.204 | −26.99101 | 126.20980 |
sigma_u | 5.65038 | |||||
sigma_e | 4.20024 | |||||
Random-effects GIS regression Group variable: regin Number of obs = 36 R-sq: Number of groups = 12 within = 0.5487 Wald chi2(6) = 24.04 between = 0.1734 Prob > chi2 = 0.0005 overall = 0.2889 corr(u__i,X) = 0 (assumed) |