Based on the given feature and task, we are trying to determine if the person earns more than $50,000 per year based on their native country.

To analyze the relationship between the feature "native-country" and the target variable, we can calculate the distribution of each native country for both the "yes" (earning more than $50,000) and "no" (earning less than or equal to $50,000) classes.

Here is the analysis:

Native Countries for Target Class "Yes" (Earning more than $50,000):
- United-States
- Peru
- Guatemala
- Mexico
- Dominican-Republic
- Ireland
- Germany
- Philippines
- Thailand
- Haiti
- El-Salvador
- Puerto-Rico
- Vietnam
- South
- Columbia
- Japan
- India
- Cambodia
- Poland
- Laos
- England
- Cuba
- Taiwan
- Italy
- Canada
- Portugal
- China
- Nicaragua
- Honduras
- Iran
- Scotland
- Jamaica
- Ecuador
- Yugoslavia
- Hungary
- Hong
- Greece
- Trinadad&Tobago
- Outlying-US(Guam-USVI-etc)
- France
- Holand-Netherlands

Native Countries for Target Class "No" (Earning less than or equal to $50,000):
- United-States
- ?
- Peru
- Guatemala
- Mexico
- Dominican-Republic
- Ireland
- Germany
- Philippines
- Thailand
- Haiti
- El-Salvador
- Puerto-Rico
- Vietnam
- South
- Columbia
- Japan
- India
- Cambodia
- Poland
- Laos
- England
- Cuba
- Taiwan
- Italy
- Canada
- Portugal
- China
- Nicaragua
- Honduras
- Iran
- Scotland
- Jamaica
- Ecuador
- Yugoslavia
- Hungary
- Hong
- Greece
- Trinadad&Tobago
- Outlying-US(Guam-USVI-etc)
- France

Based on this analysis, we can create the dictionary as follows:

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

Please note that since the "native-country" feature has many unique values, it is not necessary to include all of them in the dictionary. However, the list of each target class (yes/no) is not empty as per the requirements.