Based on prior knowledge, the capital-gain feature represents the amount of profit an individual has made from the sale of an asset, such as stocks, real estate, or bonds, in the past year. It is likely that individuals with higher capital gains might have a higher probability of earning more than $50,000 per year.

To analyze the relationship between the capital-gain feature and the target variable, we can examine typical values for individuals who earn more or less than $50,000 per year.

Here is a dictionary that represents the relationship between the capital-gain feature and the target variable:

```json
{
	"no": [0, 100, 500, 1000, 2000],
	"yes": [5000, 10000, 15000, 20000, 25000]
}
```

This dictionary suggests that individuals who earn less than $50,000 per year typically have capital gains in the range of 0 to 2,000, while those who earn more than $50,000 per year have capital gains in the range of 5,000 to 25,000.

These values are only examples and can vary depending on the specific dataset and analysis. It is important to note that the relationship between the capital-gain feature and the target variable can be more complex and may require additional analysis and exploration to fully understand its impact.