Based on prior knowledge, I can perform the analysis to determine the relationship between the feature "education" and the task of whether a client subscribes to a term deposit or not.

Analysis:
The education level of a client may have an impact on whether they subscribe to a term deposit or not. Generally, clients with higher education levels might have a higher likelihood of subscribing to a term deposit as they may have a better understanding of financial products and investments. 

To generate the dictionary, I will analyze the relationship between the feature "education" and the target variable "subscribed to a term deposit".

Here is the dictionary with the analysis results:

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

Explanation:
- For the target class "no" (clients who did not subscribe to a term deposit), the possible education levels are "unknown" and "primary".
- For the target class "yes" (clients who subscribed to a term deposit), the possible education levels are "tertiary" and "secondary".

Please note that the "unknown" education level is included for the "no" target class, as it represents clients whose education level is not known.

The analysis suggests that clients with higher education levels (tertiary or secondary) are more likely to subscribe to a term deposit, while clients with lower education levels (unknown or primary) are less likely to subscribe.