Based on prior knowledge, we can analyze the relationship between the "residence_since" feature and the target task of whether a person receives credit or not. 

The duration of residence may indicate stability and a lower risk factor for credit granting. Therefore, individuals with a longer duration of residence are more likely to receive credit.

After analyzing the relationship, we can create a dictionary with the requested format:

```json
{
    "yes": [2.0, 3.0, 4.0, 5.0, 6.0],
    "no": [1.0, 2.5, 3.5, 4.5, 7.0]
}
```

Typically, individuals with a residence duration of around 2 to 6 years (inclusive) are more likely to receive credit, while those with residence durations around 1, 2.5, 3.5, 4.5, and 7 years are less likely to receive credit.