Research Article
Big Data Credit Report in Credit Risk Management of Consumer Finance
Table 1
Regression results of credit line influencing factors.
| Volume | Coefficient | Standard | value | | 95% confidence interval |
| Age | 1098.593 | 219.4229 | 5.01 | 0.0000 | 667.8678 | 1529.318 | Education | 9673.968 | 2870.089 | 3.37 | 0.001 | 4040.01 | 15,307.93 | Marital status | -711.139 | 2468.392 | -0.29 | 0.773 | -5556.569 | 4134.292 | Company size | -25,407 | 3121.991 | 8.14 | 0.000 | 31,535.39 | 19,278.52 | Work position | 4330.822 | 669.6249 | 6.47 | 0.000 | 3016.355 | 5645.29 | Operating hours | -470.134 | 1572.361 | -0.3 | 0.765 | -3556.663 | 2616.395 | Work place | -324.846 | 1833.539 | -0.18 | 0.859 | -3924.066 | 3274.373 |
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