Based on prior knowledge, we can analyze the relationship between age and the target variable (earning more than 50000 dollars per year).

Typically, younger individuals are less likely to earn higher incomes, while older individuals tend to have more experience and higher earning potential. However, there can be exceptions to this general trend based on factors such as education level, occupation, and industry.

Let's create a dictionary that includes five typical age values for each target class:

```json
{
	"no": [18, 25, 30, 35, 40],
	"yes": [40, 45, 50, 55, 60]
}
```

Note: These values are just approximate examples and may not represent the exact relationship between age and income. Further analysis should be conducted using real data to obtain more accurate insights.