Based on prior knowledge, the feature "native-country" may be related to the target variable "Does this person earn more than 50000 dollars per year?". Individuals' native countries could potentially influence their earning potential due to various factors such as economic conditions, educational opportunities, and job markets.

To analyze the relationship between the "native-country" feature and the target variable, we can examine the distribution of native countries for each class of the target variable using the given dataset:

For individuals who earn less than or equal to 50000 dollars per year:
- United-States, Mexico, Philippines, Germany, Puerto-Rico, Canada, El-Salvador, India, Cuba, Jamaica

For individuals who earn more than 50000 dollars per year:
- United-States, India, England, Canada

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

```json
{
	"no": ["United-States", "Mexico", "Philippines", "Germany", "Puerto-Rico", "Canada", "El-Salvador", "India", "Cuba", "Jamaica"],
	"yes": ["United-States", "India", "England", "Canada"]
}
```

Please note that the list of native countries presented in the dictionary is not exhaustive. It includes the most common native countries observed in the dataset for each target class.