Based on prior knowledge, the capital-gain feature can provide insights into a person's income. A higher capital-gain value indicates a higher income potential. 

To analyze the relationship between the feature capital-gain and the target task of whether a person earns more than $50,000 per year, we can use statistical analysis or visualizations to observe patterns.

First, we can compare the distribution of capital-gain values for individuals who earn more or less than $50,000 per year. We can divide the data into two groups: those with incomes above $50,000 ("yes") and those with incomes below or equal to $50,000 ("no").

By analyzing the capital-gain values for both groups, we can determine the range of values that are more likely to appear in each group. This analysis will help create the required dictionary.

```json
{
	"no": [0, 10, 20, 30, 40],
	"yes": [1000, 2000, 3000, 4000, 5000]
}
```

In this example dictionary, five typical capital-gain values are provided for each target class: "no" (incomes below or equal to $50,000) and "yes" (incomes above $50,000). The values are presented as integers in lists and can be considered as representative values based on the analysis.