Based on prior knowledge, the feature "employment" can be a strong indicator of whether a person receives a credit or not. In general, individuals who have a stable and long-term employment history are more likely to be granted credit, while those who are unemployed or have short-term employment may face difficulties in obtaining a credit.

Based on this analysis, the possible values of the feature "employment" for the target class "yes" (person receiving a credit) are: '>=7', '1<=X<4', and '4<=X<7'.

The possible values of the feature "employment" for the target class "no" (person not receiving a credit) are: 'unemployed' and '<1'.

Therefore, the dictionary representing the relationship between the feature "employment" and the task "Does this person receive a credit? Yes or no?" is as follows:

```json
{
	"yes": [">=7", "1<=X<4", "4<=X<7"],
	"no": ["unemployed", "<1"]
}
```