Based on prior knowledge, we can analyze the relationship between the feature "educational-num" and the task of earning more than 50000 dollars per year.

In general, higher levels of education tend to be associated with higher earnings. Therefore, it is reasonable to assume that individuals with higher values of "educational-num" will have a higher likelihood of earning more than 50000 dollars per year.

To create the dictionary, we need to identify five typical educational-num values for each target class ('no' and 'yes').

Here is the dictionary:

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

Please note that the values provided in the lists are just examples and cannot be considered as an exhaustive representation of all possible values for each target class. Additionally, the selection of these values may vary depending on the specific dataset and its characteristics.