From prior knowledge, we can analyze the relationship between age and the task "Does this person earn more than 50000 dollars per year?"

Based on general observations, it is commonly known that individuals tend to earn higher incomes as they gain more work experience. Therefore, it is likely that individuals who are older would have a higher probability of earning more than $50,000 per year.

However, there could be exceptions where individuals with advanced degrees or specific skills may be able to earn higher salaries at a younger age. Moreover, there is a possibility that individuals in certain industries or professions may have higher salaries regardless of their age.

To analyze the relationship further, we can examine the age ranges where individuals are more likely to earn more than $50,000 per year. For this analysis, we will consider individuals above the age of 16.

Dictionary with age ranges for each target class:

```json
{
	"no": [17, 18, 19, 20, 21],
	"yes": [30, 35, 40, 45, 50]
}
```

Please note that the age ranges mentioned above are just examples. The actual age ranges may vary depending on the dataset and the specific task at hand.