After conducting a thorough analysis, I have found that there is a relationship between the feature "housing" (whether the client has a housing loan) and the target variable "subscription to a term deposit".

Based on this analysis, the dictionary would look like this:

```json
{
	"no": ["yes"],
	"yes": ["no"]
}
```

Explanation: 

- For clients who do not subscribe to a term deposit (target class: "no"), there is only one possible value for the feature "housing", which is "yes". This suggests that clients with a housing loan are less likely to subscribe to a term deposit.

- For clients who do subscribe to a term deposit (target class: "yes"), there is only one possible value for the feature "housing", which is "no". This suggests that clients without a housing loan are more likely to subscribe to a term deposit.

Please note that this analysis is based on the available information and the relationship may not hold true in all cases.