Based on prior knowledge, it is expected that the education level of a client can have an impact on whether they subscribe to a term deposit or not. 

To analyze the relationship between the feature "education level" and the task of whether a client subscribes to a term deposit or not, we can examine the distribution of education levels for each target class.

Here is the analysis and the resulting dictionary:

```json
{
    "no": ["unknown", "primary", "secondary"], 
    "yes": ["tertiary"]
}
```

Based on the data analysis, clients with an education level of "tertiary" are more likely to subscribe to a term deposit. On the other hand, clients with education levels of "unknown", "primary", or "secondary" are less likely to subscribe to a term deposit.