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

Typically, the duration of a credit can vary depending on various factors. In general, the longer the duration, the higher the risk for the lender, as they are exposed to potential payment defaults over a longer period. It is also important to consider that shorter durations imply a lower repayment period, making it more feasible for borrowers to handle the credit.

Based on these assumptions, we can analyze the potential relationship between the "duration" feature and the task. We would expect that shorter durations are more likely to result in a positive outcome (i.e., receiving a credit) while longer durations may lead to a negative outcome (i.e., not receiving a credit).

With this in mind, let's create the requested dictionary:

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

In this dictionary, we have included five typical duration values for each target class ('yes' and 'no'). The values 12.0, 24.0, 6.0, 18.0, and 9.0 represent typical durations for individuals who receive credit ('yes'). On the other hand, the values 60.0, 48.0, 72.0, 36.0, and 84.0 are typical durations for individuals who do not receive credit ('no').