Based on prior knowledge and common sense, we can assume that age can be a significant factor in determining whether a person earns more than 50000 dollars per year.

Considering the task of determining if a person earns more than 50000 dollars per year, we can analyze the relationship between the age feature and the target variable.

Typically, younger individuals may be at the beginning of their careers or still in education, and may not have reached higher income levels. Older individuals, on the other hand, may have had more time to establish their careers and earn higher salaries.

By analyzing a dataset, we can determine the age ranges that are more likely to belong to each target class ('yes' or 'no'). Let's create a dictionary to summarize the analysis.

```python
{
    "no": [20, 25, 30, 35, 40],
    "yes": [45, 50, 55, 60, 65]
}
```

Here, we have chosen age values for the 'no' target class as [20, 25, 30, 35, 40], and for the 'yes' target class as [45, 50, 55, 60, 65]. These values are just examples, and the actual ranges may vary depending on the dataset and analysis performed.