Based on prior knowledge, the relationship between the "native-country" feature and the target variable of whether a person earns more than 50000 dollars per year can have some correlation. Here are the details for each class of the target variable:

For the "no" class (earn less than or equal to 50000 dollars per year):

- United-States
- Mexico
- Puerto-Rico
- Germany
- England
- China
- Jamaica
- Italy
- Cuba
- Philippines
- India
- Poland
- Columbia
- Japan
- Vietnam
- Haiti
- Guatemala
- El-Salvador
- Peru
- Dominican-Republic

For the "yes" class (earn more than 50000 dollars per year):

- United-States
- Canada
- Germany
- England
- Italy
- Japan
- Greece
- Taiwan
- China
- Hong
- India
- Iran
- Philippines
- Poland
- Columbia
- Cambodia

Based on this analysis, we can create the following dictionary:

```json
{
	"no": ["United-States", "Mexico", "Puerto-Rico", "Germany", "England", "China", "Jamaica", "Italy", "Cuba", "Philippines", "India", "Poland", "Columbia", "Japan", "Vietnam", "Haiti", "Guatemala", "El-Salvador", "Peru", "Dominican-Republic"],
	"yes": ["United-States", "Canada", "Germany", "England", "Italy", "Japan", "Greece", "Taiwan", "China", "Hong", "India", "Iran", "Philippines", "Poland", "Columbia", "Cambodia"]
}
```