Based on prior knowledge, the "capital-gain" feature can be used to analyze the relationship with the task of whether a person earns more than 50000 dollars per year.

To conduct the analysis, we can start by looking at the typical values of "capital-gain" for each target class ('no' and 'yes').

Possible values of feature capital-gain for target class 'no' (earning less than or equal to 50000 dollars per year):
- 0
- 2000
- 4000
- 6000
- 8000

Possible values of feature capital-gain for target class 'yes' (earning more than 50000 dollars per year):
- 5000
- 10000
- 15000
- 20000
- 25000

Based on this analysis, we can create the dictionary with the required format:

```json
{
	"no": [0, 2000, 4000, 6000, 8000],
	"yes": [5000, 10000, 15000, 20000, 25000]
}
```

This dictionary represents the typical values of the "capital-gain" feature for each target class.