Based on prior knowledge, the feature "residence_since" refers to the number of years a person has been living at their current residence. To understand the relationship between this feature and the task of whether the person receives a credit or not, we can perform the following analysis:

1. We can assume that individuals with a longer duration of residence at their current address might have a higher chance of receiving a credit. This assumption is based on the idea that stability and a longer presence at a specific residence may indicate financial stability and reliability.

2. However, it is also possible that individuals who have recently moved to a new residence might be in a more favorable financial situation and may have a higher likelihood of receiving credit. This could be due to a change in employment or a move to a more affordable area.

3. Additionally, some lenders may have specific requirements regarding the minimum residence duration for a person to be eligible to receive a credit. Therefore, the value of the "residence_since" feature might be an important factor in determining creditworthiness.

Based on these observations, we can create a dictionary showing typical values of the "residence_since" feature for the target classes 'yes' (person receives a credit) and 'no' (person does not receive a credit), as follows:

```json
{
	"yes": [1.0, 2.0, 3.0, 4.0, 5.0],
	"no": [1.0, 2.0, 3.0, 4.0, 5.0]
}
```

Please note that the provided values are just examples, and the actual values may vary depending on the specific dataset and analysis conducted.