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 or not. 

Typically, clients with higher average balances are more likely to subscribe to a term deposit. However, it is important to define specific ranges of values for the feature "balance" in order to determine the appropriate values to include in the dictionary.

For the purpose of this analysis, let's assume the following ranges for the feature "balance":
- 0 to 1000 euros: Low balance
- 1000 to 5000 euros: Medium balance
- 5000 to 10000 euros: High balance
- Above 10000 euros: Very high balance

Based on these ranges, we can create a dictionary with 5 typical balance values for each target class ('no', 'yes'):

```json
{
	"no": [100, 200, 300, 400, 500],
	"yes": [5000, 6000, 7000, 8000, 9000]
}
```

Please note that these balance values are just examples and should be replaced with actual values based on the dataset being analyzed.