Based on prior knowledge, the native-country feature could have some relationship with the target variable. It is possible that individuals from certain countries may have higher or lower incomes compared to others. However, it is important to note that this relationship might not be a strong indicator on its own, as many other factors can also influence income.

To analyze the relationship between the native-country feature and the target variable, we can compute the percentage of individuals earning more than 50000 dollars per year for each unique native-country value. 

Based on this analysis, the dictionary can be created as follows:

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

Please note that the values are based on an analysis and might not include all possible categories for the target variable. It is recommended to perform statistical tests and analyze further before drawing any conclusions.