Based on prior knowledge, we can analyze the relationship between the feature "other_payment_plans" and the task of whether this person receives a credit.

To conduct this analysis, we can examine historical data or common logic. It is likely that individuals who have other installment plans with banks or stores may have a higher likelihood of receiving credit compared to those who have no other payment plans. However, it is also possible that having other payment plans with stores could indicate a higher risk of defaulting on credit payments.

Based on this analysis, we can create the following dictionary:

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

In this case, individuals who have other installment plans with banks or stores are more likely to receive credit, while those who have no other payment plans are less likely to receive credit. The "none" category indicates that people who have no other payment plans may have a higher chance of not receiving credit.