本人没有任何统计学及计量经济学基础，但论文需要，导师推荐使用limdep中的tobit模型做回归分析，照猫画虎好容易做完了，结果（如下）又看不明白。特求助达人相助，不胜感激。

--> TOBIT;Lhs=EF;Rhs=ONE,POTA,POSS,POSC,PODC,OCON,SB,SM,Y4,Y5,Y6,Y7$
Normal exit from iterations. Exit status=0.

+---------------------------------------------+
| Limited Dependent Variable Model - CENSORED |
| Maximum Likelihood Estimates                |
| Model estimated: Oct 10, 2008 at 03:30:53PM.|
| Dependent variable                   EF     |
| Weighting variable                 None     |
| Number of observations              240     |
| Iterations completed                  4     |
| Log likelihood function        129.2763     |
| Threshold values for the model:             |
| Lower=     .0000     Upper=+infinity        |
| ANOVA  based fit measure =    .150844       |
| DECOMP based fit measure =    .150844       |
+---------------------------------------------+
+---------+--------------+----------------+--------+---------+----------+
|Variable | Coefficient  | Standard Error |b/St.Er.|P[|Z|>z] | Mean of X|
+---------+--------------+----------------+--------+---------+----------+
          Primary Index Equation for Model
 Constant     .9095568789       .17087682    5.323   .0000
 POTA     -.1266298256E-02  .94384116E-03   -1.342   .1797     43.971459
 POSS      .2899745420E-01      .10756716     .270   .7875  .39216585E-01
 POSC     -.1952710094E-01  .89468030E-01    -.218   .8272     .25037157
 PODC      .2263302249E-01  .82503035E-01     .274   .7838     .20894568
 OCON     -.2577716867E-01  .47828070E-01    -.539   .5899     3.1857823
 SB        .8722676088E-01  .25599359E-01    3.407   .0007     .20833333
 SM       -.6072332571E-01  .21303593E-01   -2.850   .0044     .42083333
 Y4       -.6676710296E-02  .28849148E-01    -.231   .8170     .20000000
 Y5        .9017197283E-02  .29593598E-01     .305   .7606     .20000000
 Y6        .3754813105E-01  .30017320E-01    1.251   .2110     .20000000
 Y7        .5929626552E-01  .33500349E-01    1.770   .0767     .20000000
          Disturbance standard deviation
 Sigma        .1411983361   .64447928E-02   21.909   .0000