Based on prior knowledge, the foreign_worker feature may have a relationship with the task of whether a person receives a credit or not. However, without further information or a dataset to analyze, it is difficult to accurately determine the specific relationship.

To create the dictionary, I will assume the following possible relationship scenarios between the foreign_worker feature and the target variable:

1. If a foreign_worker value of 'yes' is more likely to lead to receiving a credit, we will include 'yes' in the dictionary as a possible value for the 'yes' target class.
2. If a foreign_worker value of 'no' is more likely to lead to receiving a credit, we will include 'no' in the dictionary as a possible value for the 'yes' target class.

Similarly, we will include possible values for the 'no' target class in the dictionary.

Considering these assumptions, the dictionary would look like this:

```json
{
  "yes": ["yes"],
  "no": ["no"]
}
```

Please note that this dictionary assumes a relationship between the foreign_worker feature and the target variable. Without further analysis or information, this is just speculation.