Research Article
Construction of a Recommendation Method for Financial Insurance Products Based on Machine Learning
Table 2
The results of the Pearson correlation test for research variables.
| Variable | Correlation coefficient | | Is it significant |
| Age | −0.098 | 0.000 | Significant | Gender | −0.002 | 0.780 | Not obvious | Education level | 0.179 | 0.000 | Significant | Marital status | −0.015 | 0.05 | Not obvious | Whether to participate in basic medical insurance | −0.011 | 0.29 | Not obvious | Whether to participate in the basic pension insurance | 0.048 | 0.000 | Significant | Personal gross income last year | 0.045 | 0.000 | Significant | Political status | 0.057 | 0.000 | Significant | Number of children in the family | −0.089 | 0.000 | Significant | Total household income for the last year | 0.081 | 0.000 | Display chopsticks | Number of existing properties | 0.087 | 0.000 | Significant | Do you own a family car? | 0.168 | 0.000 | Significant | Whether to engage in investment activities | 0.189 | 0.000 | Significant |
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