Based on my prior knowledge, I can make an initial analysis of how the age feature might relate to the task of determining whether a person earns more than $50,000 per year.

Analysis:

- In general, it is expected that older individuals tend to earn more due to their accumulated work experience and higher job positions. Younger individuals may still be in the early stages of their careers and have lower income levels.
- However, there might be a threshold age beyond which the earning potential starts to decline, such as after retirement, which could impact the relationship between age and income.
- Additionally, there might be variations within specific age ranges based on factors such as education, occupation, and industry.

Based on this analysis, I will generate a dictionary with possible age values for each target class ('no' and 'yes').

```json
{
	"no": [20, 25, 30, 35, 40], 
	"yes": [35, 40, 45, 50, 55]
}
```

Note: The age values provided are just examples and might not accurately represent the real data.