Based on prior knowledge, we can analyze the relationship between the feature 'credit_amount' and the target variable 'Does this person receive a credit?'. 

Assuming that higher credit amounts are more likely to result in a 'yes' response, we can group the credit_amount values into appropriate ranges.

After analyzing the data, we can create the dictionary as follows:

```json
{
	"yes": [1000.0, 1500.0, 2000.0, 2500.0, 3000.0],
	"no": [500.0, 750.0, 800.0, 1000.0, 1200.0]
}
```

Please note that these are just example ranges and values and may vary depending on the specific dataset and analysis conducted.