Based on prior knowledge, it is difficult to determine the relationship between the "own_telephone" feature and the task of whether a person receives credit or not. To analyze the relationship, we can examine the distribution of "own_telephone" values among the two target classes.

Upon analyzing the data, we can create a dictionary with the possible values of the "own_telephone" feature for each target class. Here is the formatted dictionary:

```json
{
	"yes": ["yes"],
	"no": ["none"]
}
```

In this case, the value "yes" is present in the "own_telephone" feature for the "yes" class, and the value "none" is present for the "no" class.