Based on prior knowledge, let's analyze the relationship between the feature "num_dependents" and the target variable "Does this person receive a credit?". 

In general, having more dependents may increase the likelihood of a person not receiving a credit. Lenders might view individuals with more dependents as having higher financial obligations, which could impact their ability to repay the credit. However, it is important to note that the impact of num_dependents on the target variable can vary depending on other factors and the specific context.

Now, let's create the dictionary with the requested format:

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

Please note that these are just example values for the feature "num_dependents". In a real analysis, it would be necessary to consider the actual distribution of values present in the dataset to determine the most appropriate ranges.