Based on prior knowledge about credit decisions, the duration feature is expected to have some relationship with whether a person receives credit or not. 

To analyze the relationship between the duration feature and the target of receiving credit, we can examine the distribution of duration values for each class (yes or no). 

Here is the requested dictionary with typical duration values for each target class:

```json
{
	"yes": [6.0, 9.0, 12.0, 18.0, 24.0],
	"no": [36.0, 48.0, 60.0, 72.0, 84.0]
}
```

In this analysis, the "yes" class represents instances where the person receives credit, and the "no" class represents instances where the person does not receive credit. 

The duration values in the "yes" list (for target class yes) are typical durations for instances where the person receives credit. These values are 6.0, 9.0, 12.0, 18.0, 24.0 (provided as floats).

The duration values in the "no" list (for target class no) are typical durations for instances where the person does not receive credit. These values are 36.0, 48.0, 60.0, 72.0, 84.0 (provided as floats).

Please note that these duration values are just examples and might need to be adjusted based on the specific dataset and problem at hand.