Based on my analysis, the feature "native-country" may have some relationship with the target variable. People from certain countries may have higher or lower chances of earning more than 50000 dollars per year.

Here is the dictionary based on the analysis:

```json
{
	"no": ["United-States", "?", "Mexico", "Dominican-Republic", "El-Salvador", "Puerto-Rico", "Jamaica", "Trinadad&Tobago", "Outlying-US(Guam-USVI-etc)", "Honduras", "Holand-Netherlands"],
	"yes": ["Peru", "Guatemala", "Ireland", "Germany", "Philippines", "Thailand", "Haiti", "Vietnam", "South", "Columbia", "Japan", "India", "Cambodia", "Poland", "Laos", "England", "Cuba", "Taiwan", "Italy", "Canada", "Portugal", "China", "Nicaragua", "Iran", "Scotland", "Ecuador", "Yugoslavia", "Hungary", "Hong", "Greece", "France"]
}
```

Please note that this analysis is based on prior knowledge and assumptions, and it may not capture all the nuances of the relationship between the feature and the target variable.