Based on my prior knowledge, I will assume that a higher average yearly balance would indicate a higher likelihood of the client subscribing to a term deposit. Therefore, I would expect to see higher balance values for clients who have subscribed to a term deposit compared to those who have not.

Based on this assumption, I will analyze the relationship between the feature "balance" and the target variable "subscription to a term deposit". 

To create the dictionary, I will consider the following typical balance values for each target class:

For the target class "no":
- 0
- 100
- 500
- 1000
- 2000

For the target class "yes":
- 5000
- 10000
- 15000
- 20000
- 25000

Here is the formatted dictionary:

```json
{
	"no": [0.0, 100.0, 500.0, 1000.0, 2000.0],
	"yes": [5000.0, 10000.0, 15000.0, 20000.0, 25000.0]
}
```