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

The balance feature represents the average yearly balance of the client in euros. To analyze the relationship, we can consider that clients with higher average yearly balances might be more likely to subscribe to a term deposit, as they have more disposable income to invest. On the other hand, clients with lower balances may be less likely to subscribe.

Here is a dictionary that summarizes the relationship between the feature "balance" and the task:

```json
{
	"no": [0, 1000, 2000, 3000, 4000],
	"yes": [5000, 10000, 15000, 20000, 25000]
}
```

In this dictionary, the "no" key represents clients who did not subscribe to a term deposit, and the "yes" key represents clients who subscribed to a term deposit. The values under each key are lists of typical balance values for each target class.

Please note that the specific values provided in the dictionary are just examples and may not reflect the actual relationships in the dataset. It is important to conduct additional analysis using the dataset to derive more accurate insights.