Based on my prior knowledge, I can analyze the relationship between the feature "job" and the task of whether a person receives credit or not.

It is possible that individuals with a job categorized as "high qualif/self emp/mgmt" are more likely to receive credit compared to individuals with other job categories. Skilled workers may also be perceived as having stable employment and therefore more likely to receive credit. On the other hand, individuals who are classified as "unemp/unskilled non res" or "unskilled resident" may face difficulties in obtaining credit.

Based on this analysis, I can generate the following dictionary:

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

This dictionary indicates that individuals with jobs categorized as "skilled" or "high qualif/self emp/mgmt" are more likely to receive credit, while individuals with jobs classified as "unskilled resident" or "unemp/unskilled non res" are less likely to receive credit.