Based on prior knowledge, we can analyze the relationship between the feature "existing_credits" and the task of whether the person receives a credit. 

It is possible that individuals with fewer existing credits at the bank are more likely to receive a credit. On the other hand, individuals with a larger number of existing credits may be less likely to receive a credit. 

To create the dictionary with the desired format, we will select 5 typical existing_credits values for each target class ['yes', 'no'].

Based on this analysis, the dictionary would look as follows:

```json
{
	"yes": [0.0, 1.0, 2.0, 3.0, 4.0],
	"no": [0.0, 1.0, 2.0, 3.0, 4.0]
}
```

Please note that the selected typical values may vary depending on the dataset and specific circumstances.