Based on prior knowledge, the capital-loss feature represents the financial losses incurred by an individual in a given year. Higher values of capital loss indicate a greater financial loss.

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

1. If a person has a high capital-loss value, it may indicate they have incurred significant financial losses. This could potentially lead to lower income and increase the likelihood of earning less than $50,000 per year.

Based on this analysis, let's create a dictionary with typical capital-loss values for both target classes:

```json
{
	"no": [-1902, -1562, -2339, -1848, -1977],
	"yes": [0, -4356, -1669, -2001, -3683]
}
```

In the "no" class, where the person does not earn more than $50,000 per year, -1902, -1562, -2339, -1848, and -1977 are common capital-loss values.

In the "yes" class, where the person earns more than $50,000 per year, 0, -4356, -1669, -2001, and -3683 are common capital-loss values.

Please note that these values are just examples and may not be representative of the overall dataset.