Based on my prior knowledge and understanding of the feature "num_dependents" in relation to the task of determining whether a person receives credit or not, I would analyze the relationship as follows:

Analysis:
Typically, the number of dependents a person has can potentially influence their ability to obtain credit. People with more dependents may have higher financial responsibilities and may be perceived as having a higher risk of defaulting on credit payments. On the other hand, those with fewer or no dependents may have fewer financial obligations and may be considered more creditworthy.

Based on this analysis, I will now generate a dictionary with the required information:

```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 dictionary, I have provided 5 typical values for the "num_dependents" feature for each target class "yes" and "no". The values are presented as floats within lists. Please note that these values are just examples and may not reflect the actual data distribution.