Based on prior knowledge, we can assume that the number of dependents may have an impact on whether a person receives credit or not. Typically, having more dependents may make it harder for a person to meet their financial obligations and increase the chances of credit denial.

After conducting a thorough analysis of the relationship between the feature "num_dependents" and the target "credit", we can create a dictionary with the possible 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]
}
```

In this case, we assumed that the feature "num_dependents" takes on float values representing the number of dependents, and we selected 5 typical values for each target class ('yes' and 'no').