Based on prior knowledge, the residence_since feature represents the number of years a person has been residing at their current residence. To analyze the relationship between this feature and the target variable (whether the person receives a credit or not), we can compare the average residence_since values for the two target classes (yes and no).

Here's a dictionary containing 5 typical residence_since values for each target class:

```json
{
	"yes": [2.5, 4.0, 1.0, 3.0, 5.0],
	"no": [8.0, 10.0, 6.0, 7.5, 9.0]
}
```

Please note that these values are for illustrative purposes only, and the actual values may vary based on the dataset and specific analysis.