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

It is expected that clients with a higher level of education may have a higher likelihood of subscribing to a term deposit. However, it is important to note that education level alone may not be the sole determining factor.

To analyze the relationship, we can examine the distribution of education levels among clients who did not subscribe to a term deposit (target class "no") and those who did subscribe (target class "yes").

After analyzing the data, the resulting dictionary would look like this:

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

This implies that clients with any level of education (tertiary, secondary, unknown, primary) have subscribed to a term deposit. However, it is important to note that the majority of clients who subscribed to a term deposit have a tertiary level of education. Clients with a secondary education or unknown education level also show a positive tendency towards subscribing to the term deposit.