Iteration 0: log likelihood = −87.129444 | ||||||
Iteration 1: log likelihood = −60.919341 | ||||||
Iteration 2: log likelihood = −60.036189 | ||||||
Iteration 3: log likelihood = −60.027714 | ||||||
Iteration 4: log likelihood = −60.027711 | ||||||
Logistic regression | Number of obs = 138 | |||||
LR chi2(12) = 54.20 | ||||||
Prob > chi2 = 0.0000 | ||||||
Log likelihood = −60.027711 | Pseudo R2 = 0.3111 | |||||
Satisfaction | Coef. | Std. Err. | Z | P > |z| | [95% Conf. | Interval] |
gender | −0.7041091 | 0.5049579 | −1.39 | 0.163 | −1.693808 | 0.2855903 |
age | −0.0779157 | 0.5479484 | −0.14 | 0.887 | −1.151875 | 0.9960435 |
residence | 0.0390207 | 0.0368509 | 1.06 | 0.290 | −0.0332056 | 0.1112471 |
understanding | 0.173153 | 0.2903223 | 0.60 | 0.551 | −0.3958682 | 0.7421742 |
education | 0.3657477 | 0.2705502 | 1.35 | 0.176 | −0.1645209 | 0.8960163 |
job | −0.0639429 | 0.3931309 | −0.16 | 0.871 | −0.8344652 | 0.7065794 |
insurance | 0.5942555 | 1.207695 | 0.49 | 0.623 | −1.772784 | 2.961295 |
income | 0.0004521 | 0.0004838 | 0.93 | 0.350 | −0.0004962 | 0.0014004 |
community | −1.261027 | 0.5418181 | −2.33 | 0.020 | −2.322971 | −0.1990828 |
disease | 1.357208 | 0.5409311 | 2.51 | 0.012 | 0.2970021 | 2.417413 |
payment | 0.1579794 | 0.834384 | 0.19 | 0.850 | −1.477383 | 1.793342 |
trust | 1.420884 | 0.3287442 | 4.32 | 0.000 | 0.7765572 | 2.065211 |
_cons | −5.197037 | 2.0217 | −2.57 | 0.010 | −9.159496 | −1.234578 |