Based on the given feature "own_telephone" and the task of determining whether the person receives a credit or not, here is the analysis and the corresponding dictionary:

Analysis:
The feature "own_telephone" is a categorical variable with two possible values: 'yes' and 'none'. 

- For the target class "yes" (person receives a credit), it is likely that people with own_telephone will have a higher probability of receiving a credit as compared to those without a phone. Therefore, the possible values for own_telephone when the target is "yes" are ['yes'].

- For the target class "no" (person does not receive a credit), it is not clear how own_telephone would directly affect this outcome. However, it is possible that in certain cases, individuals without a telephone may face challenges or restrictions when applying for credit. Therefore, the possible values for own_telephone when the target is "no" are ['yes', 'none'].

Based on this analysis, the dictionary would have the following format:

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