Based on prior knowledge, the feature "relationship" can be a relevant indicator of whether a person earns more than $50,000 per year. 

Here is the analysis of the relationship between the feature and the target variable:

- "Own-child": This category represents individuals who are the child of the target person. It is less likely that they earn more than $50,000 per year.
- "Husband" and "Wife": These categories represent individuals who are married to the target person. It is possible that they earn more than $50,000 per year.
- "Not-in-family": This category represents individuals who are not related to the target person. It is less likely that they earn more than $50,000 per year.
- "Unmarried": This category represents individuals who are not married. It is less likely that they earn more than $50,000 per year.
- "Other-relative": This category represents individuals who are relatives of the target person other than parent or child. It is less likely that they earn more than $50,000 per year.

Based on this analysis, the dictionary can be generated as follows:

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

This dictionary captures the possible values of the "relationship" feature for each target class. The values that are less likely to earn more than $50,000 per year are included in the "no" list, while the values that are more likely to earn more than $50,000 per year are included in the "yes" list.