Based on prior knowledge, the relationship between the feature "credit_amount" and the task of whether the person receives credit can be analyzed. 

Typically, the credit amount can be an important factor in determining whether a person is granted credit. Higher credit amounts may indicate a higher financial risk for lenders, and therefore they may be less likely to approve credit for individuals with high credit amounts. Similarly, very low credit amounts may also pose a risk as lenders may perceive the applicant as having a lack of financial stability.

Based on this analysis, the following dictionary can be generated:

```json
{
  "yes": [3000.0, 5000.0, 8000.0, 10000.0, 15000.0],
  "no": [1000.0, 2000.0, 4000.0, 6000.0, 9000.0]
}
```

In this dictionary, the "yes" key corresponds to credit_amount values for individuals who receive credit and the "no" key corresponds to credit_amount values for individuals who do not receive credit. The values within the lists represent typical credit amounts for each class.