Based on prior knowledge, the feature "capital-loss" refers to the financial loss an individual incurs from selling an asset for less than its purchase price. Typically, a higher capital-loss value indicates a larger financial loss.

To analyze the relationship between the "capital-loss" feature and the task of earning more than $50,000 per year, we need to consider how different capital-loss values might affect income.

Here's a possible analysis:

For target class "no" (earning less than or equal to $50,000 per year):
- Typically, individuals with lower or zero capital-loss values may have a higher chance of earning less than $50,000 per year. This is because a lower capital-loss suggests that they are not incurring significant financial losses, potentially indicating lower overall income as well.
- They may also have medium to large capital-loss values due to other factors unrelated to income. For example, individuals who invest in high-risk assets or have significant losses from real estate investments.

For target class "yes" (earning more than $50,000 per year):
- Typically, individuals with zero capital-loss values may have a higher chance of earning more than $50,000 per year. This suggests they are not incurring any financial losses, potentially indicating higher overall income.
- They may also have medium to large capital-loss values due to other factors unrelated to income. For example, individuals who have diversified investment portfolios and experience financial losses from certain assets.

Based on this analysis, here's the dictionary with the requested details:

```json
{
	"no": [0, 1500, 2000, 2500, 3000],
	"yes": [0, 1000, 2000, 3000, 5000]
}
```

Please note that these values are just examples and may vary based on the specific dataset and its characteristics.