Tobits regression | Number of obs = 27 | |||||
---|---|---|---|---|---|---|
LR chi (6) = 17.20 | ||||||
Log likelihood = -9.6217824 | Prob > chi2 = 0.0086 | |||||
Pseudo R2 = 0.4719 | ||||||
Variables | Coefficient | Std. Err | T | P > / t / | 95% Conf. Interval | |
Service year | -0.03 | 0.02 | -1.99 | 0.06 | -0.06 | 0.01 |
Catchment population | -3.97e-05 | 1.77e-05 | -2.24 | 0.04* | -7.66e-05 | -2.87e-06 |
Managerial service year | -0.04 | 0.04 | -0.94 | 0.36 | -0.13 | 0.05 |
Number of admin staffs | 0.13 | 0.05 | 2.86 | 0.01* | 0.04 | 0.23 |
Number of clinical staffs | 0.04 | 0.03 | 1.53 | 0.14 | -0.01 | 0.09 |
Number of motorcycles | -0.13 | 0.14 | -0.91 | 0.37 | -0.43 | 0.17 |
Constant | -1.02 | 0.63 | -1.62 | 0.12 | -2.34 | 0.29 |
Sigma | 0.34 | 0.07 | Â | Â | 0.18 | 0.50 |