Based on prior knowledge, we can analyze the relationship between the feature "residence_since" and the task of whether a person receives credit.

To determine the appropriate ranges of values for "residence_since," we can consider typical values for the number of years people reside at a certain place. For example, for long-term residents, we can assume they may have resided at their current place for 5, 10, 15, 20, or 25 years. For short-term residents, possible values could include 1, 2, 3, 4, or 6 years.

Based on this analysis, we can generate the following dictionary:

```json
{
	"yes": [5.0, 10.0, 15.0, 20.0, 25.0],
	"no": [1.0, 2.0, 3.0, 4.0, 6.0]
}
```