第一次发帖，求助各位大神，回归分析得出不显著的结果，进行相关分析又是以下结果，有大神可以解释一下结果吗？接下来应该怎么做呢？研究的是内部控制质量（ICQ）与盈余管理（ABSDM）的关系，控制变量分别为资产规模、资产负债率、独立董事占比、前十大股东持股比例、是否为四大审计、每股收益、盈利能力。文科生计量经济学小白在这里跪谢！
| Dependent Variable: X |
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| Method: Least Squares |
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| Date: 05/02/17 Time: 23:07 |
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| Sample: 1 1798 |
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| Included observations: 1797 |
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| Variable | Coefficient | Std. Error | t-Statistic | Prob. |
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| Y | -3.5514468 | 2.106654190929099e-05 | -0.1685823365542797 | 0.8661442318824913 |
| Z1 | 2.922279080312036e-14 | 3.288279888769223e-14 | 0.8886953602376657 | 0.374286297871639 |
| Z2 | 0.03413307724064067 | 0.01319256320460451 | 2.587296851359972 | 0.009751454475787228 |
| Z3 | -0.04625955766406165 | 0.03857784120014506 | -1.199122507246147 | 0.2306391126975962 |
| Z4 | 0.000224811774028697 | 0.0002163585168878712 | 1.039070600327727 | 0.298912313401295 |
| Z5 | -0.02476143885161325 | 0.01306395089279188 | -1.895402015425176 | 0.05820021675882573 |
| Z6 | 0.01977215038924424 | 0.005260428855151767 | 3.758657503728143 | 0.0001763100532289384 |
| Z7 | 0.1946846993194194 | 0.05817147933246449 | 3.346737981455619 | 0.0008346199855052624 |
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| R-squared | 0.04100818363603664 | Mean dependent var | 0.0209852412136885 |
| Adjusted R-squared | 0.03725584002812843 | S.D. dependent var | 0.1532185987919294 |
| S.E. of regression | 0.1503373645747486 | Akaike info criterion | -0.9474278347372088 |
| Sum squared resid | 40.43376718204549 | Schwarz criterion | -0.9229698541616559 |
| Log likelihood | 859.263909511382 | Hannan-Quinn criter. | -0.9383986895247745 |
| Durbin-Watson stat | 1.868338423871179 |
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| Dependent Variable: Y |
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| Method: Least Squares |
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| Date: 05/02/17 Time: 23:12 |
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| Sample: 1 1798 |
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| Included observations: 1797 |
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| Variable | Coefficient | Std. Error | t-Statistic | Prob. |
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| X | -4.473027595904093 | 26.53319254750819 | -0.1685823365543008 | 0.8661442318824913 |
| Z1 | 9.157245807490741e-12 | 3.691095448271244e-11 | 0.2480901926223451 | 0.8040930959025954 |
| Z2 | 148.4329989003455 | 14.41221278948135 | 10.29911236175185 | 3.321967899108991e-24 |
| Z3 | 936.5546938234556 | 37.22439626860502 | 25.15970137072025 | 7.599074766107135e-120 |
| Z4 | 2.459273207825765 | 0.2358243254880113 | 10.42841192373426 | 9.276304130344039e-25 |
| Z5 | 14.26964682905852 | 14.67214161842262 | 0.9725674138219386 | 0.3308998219922609 |
| Z6 | 51.11610412829275 | 5.802377762406847 | 8.809509863261575 | 2.909183857886036e-18 |
| Z7 | 678.2444470963665 | 63.49470895883454 | 10.68190496842961 | 7.308749851312034e-26 |
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| R-squared | 0.04869173390866177 | Mean dependent var | 607.289632721202 |
| Adjusted R-squared | 0.04496945449969614 | S.D. dependent var | 172.645964000353 |
| S.E. of regression | 168.7194151369378 | Akaike info criterion | 13.09879313095692 |
| Sum squared resid | 50926105.22798497 | Schwarz criterion | 13.12325111153247 |
| Log likelihood | -11761.26562816479 | Hannan-Quinn criter. | 13.10782227616935 |
| Durbin-Watson stat | 1.578988218548697 |
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| 表3. 5变量之间的Pearson相关系数表 |
| LNSIZE | LEF | IND | HL10 | AQ | EPS | ROA | ICQ | AbsDM |
| LNSIZE | 皮尔逊相关性 | 1 | -.047* | -.018 | .480** | .409** | .248** | .116** | .289** | -.045 |
| 显著性（双尾） |
| .046 | .454 | .000 | .000 | .000 | .000 | .000 | .059 |
| 个案数 | 1798 | 1798 | 1797 | 1798 | 1798 | 1798 | 1798 | 1797 | 1798 |
| LEF | 皮尔逊相关性 | -.047* | 1 | .013 | -.049* | -.003 | -.160** | -.981** | -.111** | .106** |
| 显著性（双尾） | .046 |
| .573 | .038 | .894 | .000 | .000 | .000 | .000 |
| 个案数 | 1798 | 1798 | 1797 | 1798 | 1798 | 1798 | 1798 | 1797 | 1798 |
| IND | 皮尔逊相关性 | -.018 | .013 | 1 | -.004 | .037 | -.037 | -.020 | -.033 | .004 |
| 显著性（双尾） | .454 | .573 |
| .860 | .113 | .118 | .407 | .165 | .8649 |
| 个案数 | 1797 | 1797 | 1797 | 1797 | 1797 | 1797 | 1797 | 1796 | 1797 |
| HL10 | 皮尔逊相关性 | .480** | -.049* | -.004 | 1 | .336** | .178** | .080** | .188** | .039 |
| 显著性（双尾） | .000 | .038 | .860 |
| .000 | .000 | .001 | .000 | .097 |
| 个案数 | 1798 | 1798 | 1797 | 1798 | 1798 | 1798 | 1798 | 1797 | 1798 |
| AQ | 皮尔逊相关性 | .409** | -.003 | .037 | .336** | 1 | .139** | .021 | .161** | -.044 |
| 显著性（双尾） | .000 | .894 | .113 | .000 |
| .000 | .376 | .000 | .063 |
| 个案数 | 1798 | 1798 | 1797 | 1798 | 1798 | 1798 | 1798 | 1797 | 1798 |
| EPS | 皮尔逊相关性 | .248** | -.160** | -.037 | .178** | .139** | 1 | .240** | .373** | -.024 |
| 显著性（双尾） | .000 | .000 | .118 | .000 | .000 |
| .000 | .000 | .300 |
| 个案数 | 1798 | 1798 | 1797 | 1798 | 1798 | 1798 | 1798 | 1797 | 1798 |
| ROA | 皮尔逊相关性 | .116** | -.981** | -.020 | .080** | .021 | .240** | 1 | .166** | -.105** |
| 显著性（双尾） | .000 | .000 | .407 | .001 | .376 | .000 |
| .000 | .000 |
| 个案数 | 1798 | 1798 | 1797 | 1798 | 1798 | 1798 | 1798 | 1797 | 1798 |
| ICQ | 皮尔逊相关性 | .289** | -.111** | -.033 | .188** | .161** | .373** | .166** | 1 | -.080** |
| 显著性（双尾） | .000 | .000 | .165 | .000 | .000 | .000 | .000 |
| .001 |
| 个案数 | 1797 | 1797 | 1796 | 1797 | 1797 | 1797 | 1797 | 1797 | 1797 |
| AbsDM | 皮尔逊相关性 | -.045 | .106** | .004 | .039 | -.044 | -.024 | -.105** | -.080** | 1 |
| 显著性（双尾） | .059 | .000 | .864 | .097 | .063 | .300 | .000 | .001 |
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| 个案数 | 1798 | 1798 | 1797 | 1798 | 1798 | 1798 | 1798 | 1797 | 1798 |
| *. 在 0.05 级别（双尾），相关性显著。 |
| **. 在 0.01 级别（双尾），相关性显著。 |
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