Based on the given feature "relationship", we can analyze how it relates to the task of determining if a person earns more than 50000 dollars per year.

From prior knowledge, we can make some assumptions about the relationship between the feature and the target variable:

1. There is a possibility that individuals who are married (Husband or Wife) may have higher incomes as they may have dual incomes.
2. Individuals who are children of others (Own-child) or have no family relationship (Not-in-family) may have lower incomes.
3. The relationship values of Unmarried and Other-relative may not provide sufficient information to accurately predict the income of an individual.

Based on these assumptions, we can create the following dictionary:

```json
{
	"no": ["Own-child", "Not-in-family"], 
	"yes": ["Husband", "Wife"]
}
```

This dictionary suggests that individuals who are own children or have no family relationship are more likely to earn less than 50000 dollars per year. On the other hand, individuals who are husbands or wives are more likely to earn more than 50000 dollars per year.

Note: The values Unmarried and Other-relative are not included in the dictionary because they may not provide sufficient information. However, this does not mean they are irrelevant to the task. It simply means they may not have a clear relationship with the target variable.