Based on prior knowledge, let's assume that a person under 18 years old is less likely to receive a credit, while someone above 18 years old is more likely to receive a credit.

Based on this assumption, we can analyze the relationship between the feature "age" and the target variable "Does this person receive a credit?". 

```json
{
	"yes": [19.0, 20.0, 21.0, 22.0, 23.0],
	"no": [16.0, 17.0, 18.0, 24.0, 25.0]
}
```