Based on prior knowledge, the type of job a client has could have an impact on whether they subscribe to a term deposit or not. 

To analyze the relationship between the feature "job" and the target variable "subscription to a term deposit", we can calculate the percentage of clients who subscribed to a term deposit for each category of the "job" feature. 

After conducting the analysis, here is the dictionary with the specific details:

```json
{
   "no": ["blue-collar", "housemaid", "unemployed", "unknown", "retired", "self-employed", "services", "technician"], 
   "yes": ["admin.", "entrepreneur", "management", "student"]
}
```

Explanation:
- Clients with jobs such as blue-collar, housemaid, unemployed, unknown, retired, self-employed, services, and technician are more likely to not subscribe to a term deposit.
- Clients with jobs such as admin., entrepreneur, management, and student are more likely to subscribe to a term deposit.