Based on my prior knowledge, I will analyze the relationship between the feature "num_dependents" and the task of whether a person receives credit or not.

Analysis:
The number of dependents a person has might impact their ability to receive credit. Typically, individuals with more dependents might have higher financial responsibilities and lower disposable income, making it more difficult for them to qualify for credit. However, the relationship might not be straightforward, as having dependents could also demonstrate stability and a regular source of income.

To determine the appropriate ranges of values for the "num_dependents" feature, it would be helpful to consider common scenarios. Here is a suggested breakdown:

- 0 dependents: This indicates someone who doesn't have any other individuals for whom they are financially responsible. This could be a positive factor for credit approval as they have more disposable income.
- 1 dependent: Having one dependent might still be manageable for most individuals and might not significantly impact their ability to receive credit.
- 2 dependents: This is a common scenario where individuals have a partner and one child. This might not heavily impact the ability to receive credit as individuals with small families can still manage their finances effectively.
- 3 dependents: Having three dependents indicates a relatively larger family size. This might affect credit approval as the financial responsibilities increase.
- 4 or more dependents: This suggests a larger family size and more financial obligations, making it challenging to meet credit eligibility criteria.

Based on this analysis, I will create a dictionary with the requested format:

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

Please note that the above suggested values are hypothetical and depend on the data and specific context.