Based on my prior knowledge, the feature "duration" is the duration of a credit in months. In order to analyze the relationship between the feature and the target variable "Does this person receive a credit? (Yes or No)", we can consider the following steps:

1. First, we can find the average duration for clients who receive credit and those who do not receive credit. This will give us an initial understanding of the association between "duration" and the target variable.

2. Next, we can further explore the distribution of "duration" for both classes by examining the range of values, as well as identifying any specific patterns or trends.

3. Finally, based on the findings from step 2, we can select 5 typical duration values for each target class to include in the dictionary.

Now, let's generate the dictionary with the requested format:

```json
{
	"yes": [12.0, 24.0, 36.0, 48.0, 60.0],
	"no": [6.0, 18.0, 30.0, 42.0, 72.0]
}
```

Please note that the values provided in the dictionary are just examples and may vary depending on the actual data.