Based on prior knowledge, the feature "job" can have an influence on whether a person receives credit or not. However, it is difficult to determine specific relationships without additional information or data analysis.

To create the dictionary, we will assume that there is no prior knowledge of the relationship between the feature and the target variable. Therefore, we will include all possible values of the "job" feature for both the "yes" and "no" classes, even if they are hard to predict.

Here is the dictionary for the given feature and task:

```json
{
	"yes": ["skilled", "unskilled resident", "high qualif/self emp/mgmt", "unemp/unskilled non res"],
	"no": ["skilled", "unskilled resident", "high qualif/self emp/mgmt", "unemp/unskilled non res"]
}
```

Note: The dictionary includes all possible job values for both the "yes" and "no" classes.