Based on prior knowledge, we can analyze the relationship between the "num_dependents" feature and the task of whether the person receives credit or not.

Generally, having more dependents may affect a person's ability to repay a credit, as they would have additional financial responsibilities. Therefore, it is possible to assume that as the number of dependents increases, the likelihood of not receiving credit may also increase.

To create the requested dictionary, we will analyze the relationship and include five typical num_dependents values for each target class.

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

In this particular case, the "yes" class (person receives credit) includes typical num_dependents values of 0.0, 0.0, 1.0, 2.0, and 3.0. The "no" class (person does not receive credit) includes typical num_dependents values of 0.0, 1.0, 2.0, 3.0, and 4.0.

Please note that these values are just examples and may vary depending on the specific dataset and analysis conducted.