Based on prior knowledge, we can hypothesize that the number of dependents may have an impact on whether a person receives credit or not. Generally, having more dependents may increase the likelihood of financial strain and decrease the chances of receiving credit.

To analyze the relationship between the feature "num_dependents" and the task of whether a person receives credit or not, we can examine the distribution of the feature for each target class, 'yes' and 'no'.

Here is the 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]
}
```

Please note that the values provided in the dictionary are just examples and based on the assumption that the feature "num_dependents" ranges from 0 to 4, including decimals if applicable. The actual values may vary depending on the dataset being analyzed.