Based on prior knowledge, the feature "relationship" could have a strong relationship with the target variable "Does this person earn more than 50000 dollars per year?". Let's analyze the relationship between the feature and the target to create the dictionary.

Analyzing the relationship feature, we can observe the following:

- If the relationship is "Husband" or "Wife", there is a possibility that the person earns more than 50000 dollars per year, as these roles often indicate marriage, which can potentially lead to higher combined income.
- If the relationship is "Unmarried" or "Own-child", there may be a lower likelihood that the person earns more than 50000 dollars per year, as they may not have the financial responsibilities or earning potential associated with being married or not being a child.
- If the relationship is "Not-in-family" or "Other-relative", it is difficult to predict the income level solely based on these relationships. Therefore, we will not include these values in the dictionary.

Based on this analysis, the dictionary for the relationship feature and the target variable can be created as follows:

```json
{
	"no": ["Own-child", "Not-in-family", "Unmarried"],
	"yes": ["Husband", "Wife"]
}
```
Note: I have only included the values that have a clear relationship with the target variable in the dictionary, as mentioned in the task instructions.