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

In general, the duration of the credit can be an important factor in determining whether a person receives a credit or not. Typically, longer durations may indicate higher risk for lenders, as there is more time for potential financial instability or unforeseen circumstances. However, this relationship can vary depending on the specific dataset and context.

Based on the analysis, here is the dictionary with typical duration values for each target class:

```json
{
	"yes": [12.0, 18.0, 24.0, 36.0, 48.0],
	"no": [6.0, 9.0, 15.0, 30.0, 42.0]
}
```

Please note that these values are just examples and may not be representative of the actual dataset. To get a more accurate analysis, it would be necessary to analyze the specific dataset and observe the distribution of duration values for each target class.