Based on prior knowledge, the feature "residence_since" could potentially have an impact on whether a person receives a credit or not. Typically, individuals who have lived at their current residence for a longer duration may be considered more stable and reliable, which could increase their chances of receiving a credit. 

To analyze the relationship between the feature and the task, we can examine the values of "residence_since" for both target classes 'yes' and 'no'. Let's generate the dictionary with the required information:

```json
{
	"yes": [2.0, 4.0, 6.0, 8.0, 10.0],
	"no": [1.0, 3.0, 5.0, 7.0, 9.0]
}
```

In this example, we have provided 5 typical values for each target class. Please note that the values used are arbitrary and should be adjusted based on the actual dataset and analysis conducted.