```json
{
    "no": [2042, 1740, 2415, 2179, 1602],
    "yes": [1977, 1485, 2205, 2057, 1573]
}
```

Based on my prior knowledge, the feature "capital-loss" represents the capital loss a person experienced last year. In order to analyze the relationship between this feature and the task of whether a person earns more than 50000 dollars per year or not, we can compare the distribution of capital loss values for each target class.

For the "no" class (people who do not earn more than 50000 dollars per year), some typical capital-loss values might be around 2000 to 2500. Therefore, I included values like 2042, 1740, 2415, 2179, and 1602 in the "no" list.

For the "yes" class (people who earn more than 50000 dollars per year), some typical capital-loss values might be around 1500 to 2200. Therefore, I included values like 1977, 1485, 2205, 2057, and 1573 in the "yes" list.

Please note that these are just typical values and the actual relationship between the feature and target can vary. Further analysis is required to make more conclusive observations.