Based on prior knowledge, capital-loss refers to the financial loss incurred when selling a capital asset. In the context of whether a person earns more than 50000 dollars per year, the relationship between capital-loss and the target variable can be analyzed.

Analysis:
1. It is expected that individuals with higher losses in the previous year could potentially earn less than 50000 dollars per year. Therefore, in general, higher capital-loss values might indicate a higher likelihood of the target variable being "no" (earning less than 50000 dollars per year).
2. Individuals with lower or zero capital-loss values might have a higher chance of earning above 50000 dollars per year. Hence, lower or zero capital-loss values might be associated with the target variable being "yes" (earning more than 50000 dollars per year).

Based on this analysis, let's generate a dictionary with the possible values of capital-loss for each target class:

```json
{
	"no": [2000, 1500, 3000, 5000, 1200],
	"yes": [0, 100, 250, 500, 800]
}
```

In this dictionary, "no" represents individuals who do not earn more than 50000 dollars per year, and "yes" represents individuals who do earn more than 50000 dollars per year. The provided values are just examples and might not cover the entire range of possible capital-loss values.