To analyze the relationship between the feature 'balance' and the target variable, I will compare the distribution of 'balance' for clients who did not subscribe to a term deposit ('no') and those who did ('yes').

Based on prior knowledge, I will assume that a positive balance is an indicator of financial stability and may increase the likelihood of subscribing to a term deposit. Conversely, a negative or very low balance might indicate financial difficulties and lower the chances of subscribing.

To create the desired dictionary with typical balance values for each class, I will analyze the dataset and select 5 values for each class:

```json
{
	"no": [200, 500, 1000, 1500, 2000],
	"yes": [3000, 5000, 7500, 10000, 15000]
}
```

Please note that these values are arbitrary and should be validated with the actual dataset if available.