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

Based on the feature "educational-num" and the task of determining if a person earns more than $50,000 per year, we can analyze the relationship between these two variables. 

Typically, individuals with lower educational-num values (such as 1, 2, 3, 4, and 5) tend to earn less than $50,000 per year. On the other hand, individuals with higher educational-num values (such as 9, 10, 11, 12, and 13) tend to earn more than $50,000 per year. 

This analysis allows us to create a dictionary with the possible values of "educational-num" for each target class. The "no" class consists of individuals who do not earn more than $50,000 per year, and the "yes" class consists of individuals who earn more than $50,000 per year.