Based on prior knowledge, it is possible that the native country of an individual can be a significant factor in determining whether they earn more than 50000 dollars per year or not. Some countries tend to have higher average incomes than others, and individuals from these countries may have a higher chance of earning more than 50000 dollars per year.

To analyze the relationship between the native-country feature and the target variable, we can calculate the percentage of individuals earning more than 50000 dollars per year for each country. This will give us an idea of whether certain countries are more likely to have individuals with high incomes.

Here is the dictionary containing the relationship between the native-country feature and the target variable:

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

Please note that the values in the "no" list represent the countries where individuals are less likely to earn more than 50000 dollars per year, while the values in the "yes" list represent the countries where individuals are more likely to earn more than 50000 dollars per year. The "?" represents missing or unknown values.

It is important to mention that the specific relationships between the native-country feature and the target variable might vary depending on the dataset being analyzed. Therefore, this analysis should be considered as a generalization based on prior knowledge and assumptions.