Based on prior knowledge, we can analyze the relationship between the "savings_status" feature and the task of whether a person receives credit or not.

It is expected that the status of a person's savings account (savings_status) could be an important factor in determining whether they receive credit or not. Generally, having a higher savings balance may indicate financial stability and reduce the risk of defaulting on credit.

Let's analyze the possible values of the "savings_status" feature and their relationship with the task:

- "no known savings": This category implies that the person does not have any savings. It is possible that this can be an indication of financial instability, which may increase the risk of not receiving credit.

- "<100": This category signifies that the person has savings less than 100 Deutsche Mark. This suggests a low savings balance, which could be an indication of financial instability and may impact the likelihood of receiving credit.

- "500<=X<1000": This category represents a savings balance between 500 and 1000 Deutsche Mark. Having some savings in this range might indicate a moderate level of financial stability, which may increase the chances of receiving credit.

- ">=1000": This category signifies that the person has savings equal to or greater than 1000 Deutsche Mark. A higher savings balance is generally seen as a positive factor, which could increase the likelihood of receiving credit.

- "100<=X<500": This category represents a savings balance between 100 and 500 Deutsche Mark. Similar to the "<100" category, having savings in this range might indicate a lower financial stability compared to higher savings balances.

Based on this analysis, we can construct the dictionary:

```json
{
	"yes": ["500<=X<1000", ">=1000"], 
	"no": ["no known savings", "<100", "100<=X<500"]
}
```

In this case, the target class "yes" includes the "savings_status" categories that generally indicate a higher likelihood of receiving credit, such as having a savings balance between 500 and 1000 Deutsche Mark or savings equal to or greater than 1000 Deutsche Mark. The target class "no" includes the categories suggesting a lower likelihood of receiving credit, such as having no known savings, savings less than 100 Deutsche Mark, or savings between 100 and 500 Deutsche Mark.