Based on prior knowledge, the capital-loss feature measures the financial loss that an individual incurs in a given year. It is expected that individuals with higher capital losses would be less likely to earn more than $50,000 per year. 

To analyze the relationship between the capital-loss feature and the task of whether the person earns more than $50,000 per year, we can consider the typical capital-loss values for each target class.

For the 'no' class (earn less or equal to $50,000 per year), typical capital-loss values could include:
- 0
- 406
- 1876
- 2824
- 3683

For the 'yes' class (earn more than $50,000 per year), typical capital-loss values could include:
- 2201
- 1411
- 1876
- 1590
- 1977

Based on this analysis, the dictionary representation would be:

```json
{
	"no": [0, 406, 1876, 2824, 3683],
	"yes": [2201, 1411, 1876, 1590, 1977]
}
```