Based on my prior knowledge, the feature "capital-loss" is a numeric variable that represents the capital loss in dollars experienced by an individual in the last year. Generally, higher capital losses may indicate a lower income or financial stability.

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

Here is a dictionary containing the possible values of the "capital-loss" feature for each target class:

```json
{
	"no": [-1, 0, 1902, 1977, 3175],
	"yes": [-1, 1485, 1876, 1980, 2415]
}
```

In the "no" class, where the person does not earn more than $50,000 per year, some typical values for the "capital-loss" feature are -1 (indicating no capital loss), 0 (indicating no capital loss), 1902, 1977, and 3175.

In the "yes" class, where the person earns more than $50,000 per year, some typical values for the "capital-loss" feature are -1 (indicating no capital loss), 1485, 1876, 1980, and 2415.

Please note that these values are just examples and may vary depending on the dataset and specific analysis.