Based on prior knowledge, the feature "capital-gain" represents the total increase in a person's wealth or assets over a specific period, typically through investments or the sale of assets. Typically, individuals with higher capital gains tend to have higher incomes. 

To analyze the relationship between the feature "capital-gain" and the task of whether a person earns more than 50000 dollars per year, we can consider the following approach:

1. Analyze the range of values: 
   - It is important to determine the appropriate ranges of values for the "capital-gain" feature. This information is not explicitly provided, so we will assume a wide range of possible values but limit to the common range of capital gains.
   - In this analysis, we will consider the values from 0 to 100,000 as potential range limits for the "capital-gain" feature.

2. Determine the relationship between feature and target:
   - The goal is to identify and analyze typical capital-gain values for each target class ('no' and 'yes'), representing individuals earning less or more than 50000 dollars per year.
   - By comparing the average capital-gain values for each target class, we can assess their relationship.

3. Create a dictionary:
   - Based on the analysis, we will generate a dictionary with key-value pairs indicating the typical capital-gain values for each target class.

Here's the resulting dictionary:

```json
{
	"no": [0, 1000, 2500, 5000, 7500],
	"yes": [5000, 10000, 20000, 30000, 50000]
}
```

Please note that these values are just examples and may differ based on the dataset and specific data distribution.