Based on prior knowledge, the feature "capital-loss" represents the amount of capital loss an individual had in the previous year. To analyze the relationship between this feature and the task of whether a person earns more than $50,000 per year, we need to consider the impact of capital loss on income.

1. Typically, individuals with higher capital losses might have lower levels of income. Therefore, we can expect that people with a capital loss greater than zero would be more likely to earn less than $50,000 per year.

2. However, it's important to note that capital loss alone is not the only determining factor for income. Other components such as salary, investments, and other deductions would also contribute to the overall income.

Based on this analysis, we can create the dictionary as follows:

```json
{
	"no": [1000, 1500, 2000, 2500, 3000],
	"yes": [0, 500, 750, 1000, 2500]
}
```

In this dictionary, we provide five typical capital loss values for each target class: 'no' and 'yes'. For the 'no' class, which represents individuals earning less than $50,000 per year, typical capital loss values could be [1000, 1500, 2000, 2500, 3000]. For the 'yes' class, which represents individuals earning more than $50,000 per year, typical capital loss values could be [0, 500, 750, 1000, 2500].

Please note that these values are just examples and may not accurately represent the true relationship between capital loss and income. A more detailed analysis would require examining additional factors and considering the context of the dataset.