Based on my prior knowledge, I can analyze the relationship between the "num_dependents" feature and the task of determining whether a person receives credit or not. The "num_dependents" feature represents the number of people for whom the person is liable to provide maintenance.

Analysis:
- It is expected that individuals with a higher number of dependents may have higher expenses and financial responsibilities, which could potentially impact their ability to receive credit.
- People with no dependents or a low number of dependents may have fewer financial obligations and may be more likely to receive credit.

Based on this analysis, I will create a dictionary with typical values of "num_dependents" for each target class:

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

Note: The above values are just examples and may not represent the actual ranges of "num_dependents". Please adjust the values according to your specific dataset.