Based on prior knowledge, the credit amount is likely to be an important feature in determining whether a person receives credit or not. Typically, individuals with higher credit amounts might be more likely to receive credit compared to those with lower credit amounts. To analyze the relationship between credit_amount and the target variable, I will examine the distribution of credit amount values for both "yes" and "no" classes.

Here is the requested dictionary:

```json
{
	"yes": [5000.0, 7000.0, 10000.0, 15000.0, 20000.0],
	"no": [1000.0, 2000.0, 3000.0, 4000.0, 6000.0]
}
```

Please note that these values are just examples and may not reflect the actual distribution of credit amount values for each target class.