Based on prior knowledge, we can analyze the relationship between age and the task of determining if a person earns more than 50000 dollars per year.

Typically, as an individual progresses in their career, their income tends to increase with age until they reach their peak earning potential. Therefore, it is reasonable to expect that people in older age groups are more likely to earn more than 50000 dollars per year compared to younger age groups.

However, it is important to note that this is a general trend and there will always be exceptions. Other factors such as education level, occupation, and work experience can also impact an individual's income.

Based on this analysis, let's create a dictionary with the specified format:

```json
{
    "no": [17, 18, 19, 20, 21],  
    "yes": [35, 40, 45, 50, 55]  
}
```

This dictionary includes 5 typical age values for each target class, where "no" represents individuals earning less than or equal to 50000 dollars per year, and "yes" represents individuals earning more than 50000 dollars per year. The age values provided are just examples and can be adjusted based on the specific dataset and its distribution.