Based on prior knowledge, we can analyze the relationship between the `credit_amount` feature and the task of determining whether a person receives credit or not.

Typically, individuals with lower credit amounts may be more likely to receive credit, while those with higher credit amounts may be less likely to receive credit. However, it is important to note that this relationship may vary depending on the specific context and criteria for granting credit.

Based on this analysis, we can create a dictionary that includes five typical `credit_amount` values for each target class of 'yes' and 'no':

```json
{
	"yes": [1000.0, 2000.0, 3000.0, 4000.0, 5000.0],
	"no": [10000.0, 15000.0, 20000.0, 25000.0, 30000.0]
}
```

This suggests that individuals who receive credit may typically have `credit_amount` values in the range of 1000.0 to 5000.0, while individuals who do not receive credit may typically have `credit_amount` values in the range of 10000.0 to 30000.0.