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

Here are the findings:

1. Older individuals tend to have higher earning potential, as they have more experience and are likely to be in higher-level positions.
2. Younger individuals might not have had enough time to establish their careers and may earn less than 50000 dollars per year.
3. It is unlikely for individuals below the age of 16 to earn more than 50000 dollars per year, as they are typically students or dependents.

Based on this analysis, we can generate the following dictionary:

```json
{
	"no": [16, 17, 18, 19, 20],
	"yes": [35, 40, 45, 50, 55]
}
```

In this dictionary, the values for the "no" (earning less than 50000 dollars per year) target class are represented by the age range of [16, 17, 18, 19, 20]. Meanwhile, the values for the "yes" (earning more than 50000 dollars per year) target class are represented by the age range of [35, 40, 45, 50, 55].