Based on prior knowledge and analysis, we can examine the relationship between the feature "other_payment_plans" and the target variable "Does this person receive a credit?".

One possible analysis could be:

1. If the value of "other_payment_plans" is "none", it may indicate that the person does not have any other installment plans. This could be an indication that they are more likely to receive a credit. Therefore, we can consider this as a possible value for the target class "yes".

2. If the value of "other_payment_plans" is "bank" or "stores", it suggests that the person has other installment plans with either a bank or stores. This might indicate that they have existing financial obligations, which could make it less likely for them to receive a credit. Hence, we can consider these values as possible values for the target class "no".

Based on this analysis, the dictionary can be generated as follows:

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