Based on prior knowledge, it is likely that the duration feature would have some relationship with whether a person receives credit or not. Typically, a shorter duration may indicate a lower credit risk as it implies a shorter commitment to a loan or credit agreement. In contrast, a longer duration may suggest a higher credit risk as it indicates a longer period of potential default.

To analyze the relationship between the duration feature and the task of whether a person receives credit or not, we can examine typical values for each target class.

For the 'yes' class (person receives credit), some typical duration values could be:

1. 6 months
2. 12 months
3. 18 months
4. 24 months
5. 36 months

These values indicate that individuals who receive credit tend to have a range of durations, suggesting that credit is granted for varying time periods.

For the 'no' class (person does not receive credit), some typical duration values could be:

1. 48 months
2. 60 months
3. 72 months
4. 84 months
5. 96 months

These values indicate that individuals who do not receive credit tend to have longer durations, suggesting a higher risk or a lack of creditworthiness.

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

```json
{
	"yes": [6.0, 12.0, 18.0, 24.0, 36.0],
	"no": [48.0, 60.0, 72.0, 84.0, 96.0]
}
```