Based on prior knowledge, we can analyze the relationship between the "contact" feature and the task of whether the client subscribes to a term deposit.

To determine this relationship, we need to examine the distribution of the "contact" feature for both the "yes" and "no" target classes.

Here is the analysis and the dictionary:

```json
{
	"no": ["unknown", "cellular", "telephone"], 
	"yes": ["cellular", "telephone"]  
}
```

Explanation:
- For the target class "no", the "contact" feature has three possible values: "unknown", "cellular", and "telephone". Clients who did not subscribe to a term deposit were contacted through various means, including unknown contacts, cellular communication, and telephone communication.
- For the target class "yes", the "contact" feature has two possible values: "cellular" and "telephone". Clients who subscribed to a term deposit were primarily contacted through cellular communication and telephone communication.

Note: The value "unknown" is included in both target classes, as it is a shared value between the two.