Based on prior knowledge, let's analyze the relationship between the feature "num_dependents" and the task of whether a person receives credit or not.

Typically, having more dependents may increase the likelihood of a person not receiving credit. However, the impact of the number of dependents on the credit decision may also depend on other factors such as the person's income, credit history, and financial stability.

To create the dictionary, we will consider 5 typical values of the "num_dependents" feature for each target class "yes" and "no".

```json
{
	"yes": [0.0, 0.5, 1.0, 1.5, 2.0],
	"no": [0.0, 1.0, 2.0, 3.0, 4.0]
}
```

These values are just examples and may not represent the actual data. Additionally, the specific ranges for each class may vary based on the dataset and the task at hand.