Based on prior knowledge, I can analyze the relationship between the feature "contact" and the target variable "Does this client subscribe to a term deposit?".

The feature "contact" represents the type of communication that was used to contact the client. It has three possible categories: 'unknown', 'cellular', and 'telephone'. To understand how this feature relates to the target variable, we can calculate the percentage of clients who subscribed to a term deposit for each category of the "contact" feature.

Here is the analysis and resulting dictionary:

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

Explanation:
- For the target class "no", clients were contacted through all three types of communication: 'unknown', 'cellular', and 'telephone'. This suggests that the type of contact does not significantly influence the client's decision to subscribe to a term deposit.
- For the target class "yes", clients were mainly contacted through 'cellular' and 'telephone' communication. This indicates that these types of communication might have a slightly higher chance of resulting in a term deposit subscription.

Note: The 'unknown' category is included for both target classes, but its inclusion does not guarantee a significant relationship with the target variable. It is better to include all possible values for a more comprehensive analysis.