Based on prior knowledge and common sense, we can analyze the relationship between the age feature and the task of whether a person earns more than $50,000 per year. Generally, older individuals tend to have more work experience and higher salaries, which increases the likelihood of them earning above $50,000. However, there can be exceptions, as income can also depend on various other factors.

Here is the dictionary with the requested format:

```json
{
	"no": [20, 24, 28, 32, 36],  
	"yes": [40, 45, 50, 55, 60] 
}
```

This dictionary suggests typical age values for each target class. In this case, people with ages between 20 and 36 are more likely to earn less than $50,000 per year, while those aged 40 to 60 are more likely to earn above $50,000 per year. Please note that these values may vary depending on the specific dataset and its distribution.