Based on prior knowledge and analysis, we can determine the relationship between the `educational-num` feature and the task of earning more than $50,000 per year. Typically, individuals with higher levels of education tend to have higher incomes. However, it is important to note that education level alone may not be the only determining factor for income. Other variables such as occupation, experience, and location could also play a significant role. 

To create the dictionary with the requested format, we need to identify five typical educational-num values for each target class: 'no' (earning less than or equal to $50,000 per year) and 'yes' (earning more than $50,000 per year). 

Here is the dictionary:

```json
{
	"no": [1, 2, 3, 4, 5],
	"yes": [9, 10, 11, 12, 13]
}
```

Please note that the specific integer values in the lists are arbitrary and may vary depending on the dataset being analyzed.