Based on prior knowledge and understanding, we can assume that the duration of credit in months may have an impact on whether a person receives a credit or not. To analyze the relationship between the duration feature and the task of whether the person receives a credit or not, we can look at typical duration values for each target class ('yes' - person receives credit, 'no' - person does not receive credit) and see if there are any notable trends.

Here is a dictionary that includes 5 typical duration values for each target class:
```json
{
	"yes": [12.0, 24.0, 36.0, 48.0, 60.0],
	"no": [6.0, 18.0, 30.0, 42.0, 72.0]
}
```

This dictionary suggests that individuals who receive credit tend to have durations a bit longer compared to those who do not receive credit. However, it is important to keep in mind that this analysis is based on assumed typical duration values and further analysis using statistical methods would provide more accurate insights.