Based on prior knowledge, the feature "capital-loss" represents the capital loss that a person had in the previous year. Generally, a person with higher capital loss is more likely to earn less income, and vice versa. 

To analyze the relationship between "capital-loss" and the task of whether a person earns more than $50,000 per year, we can consider the following:

1. For the "no" class (people who earn less than or equal to $50,000 per year), we can expect to see a higher range of capital loss values. People in this class might have experienced significant financial loss, resulting in lower income.

2. For the "yes" class (people who earn more than $50,000 per year), we can expect lower capital loss values. These individuals may have stable financial situations and are less likely to experience significant losses.

Based on this analysis, here is the dictionary with typical capital-loss values for each target class:

```json
{
  "no": [1800, 2000, 2500, 3000, 4000],
  "yes": [0, 100, 200, 300, 400]
}
```

Please note that these values are just examples and should be adjusted based on the actual data distribution and analysis.