Based on prior knowledge, the feature "capital-gain" refers to the amount of capital gain a person had in the previous year. This variable is a numeric variable that represents the increase in the value of an investment or asset.

To analyze the relationship between "capital-gain" and the task "Does this person earn more than 50000 dollars per year?", we can look at typical values for each target class and see if there are any patterns.

Here is the dictionary with possible values of "capital-gain" for each target class:

```json
{
    "no": [0, 2000, 5000, 10000, 15000],
    "yes": [0, 5000, 10000, 20000, 50000]
}
```

For the target class "no" (earning less than or equal to 50000 dollars per year), the typical "capital-gain" values include 0, 2000, 5000, 10000, and 15000.

For the target class "yes" (earning more than 50000 dollars per year), the typical "capital-gain" values include 0, 5000, 10000, 20000, and 50000.

These values are just examples and may vary depending on the specific dataset being analyzed.