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

Typically, younger individuals have lower incomes as they are early in their careers, while older individuals may have higher incomes due to more experience and higher positions. However, there may be exceptions to this general trend.

For this analysis, let's assume the following age ranges:

- Young: Ages less than or equal to 25
- Mid: Ages between 26 and 40
- Prime: Ages between 41 and 55
- Senior: Ages between 56 and 70
- Elderly: Ages greater than 70

Now, let's create the dictionary with age values for each target class:

```json
{
	"no": [18, 24, 32, 37, 45],
	"yes": [28, 33, 48, 52, 60]
}
```

In this example, we provided five typical age values for each target class ('no' and 'yes'). These values are only indicative and might vary depending on the specific dataset and characteristics of the individuals.