Analysis:

To analyze the relationship between the feature "existing_credits" and the task of whether the person receives a credit, we can use our prior knowledge to determine the appropriate ranges of values.

Typically, a higher number of existing credits could indicate a higher risk for granting a new credit, as it might suggest that the person is already burdened with multiple credit obligations. On the other hand, a lower number of existing credits could indicate a lower risk, as it suggests that the person has fewer credit obligations and may be more capable of handling a new credit.

Based on this analysis, we can create a dictionary with the requested format:

```json
{
	"yes": [0.0, 1.0, 2.0, 3.0, 4.0],
	"no": [1.0, 2.0, 3.0, 4.0, 5.0]
}
```

Note: The values provided in the dictionary are hypothetical and may vary depending on the specific dataset being used. These values are just examples to demonstrate the format.