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

To analyze the relationship between the age feature and the target task, we can consider the general assumptions:

- Younger individuals, especially teenagers, are less likely to earn more than 50000 dollars per year.
- Middle-aged individuals, typically in their 30s to 50s, are more likely to have established careers and higher earning potential.
- Older individuals, typically above the age of 50, may have lower earning potential due to retirement or reduced job opportunities.

Using this understanding, we can generate a dictionary that includes typical age values for each target class ('yes' and 'no'):

```json
{
	"no": [17, 20, 23, 26, 29],  
	"yes": [32, 35, 39, 42, 46]
}
```

Please note that these age values are examples and may vary depending on the specific dataset being analyzed.