Based on prior knowledge, the relationship feature describes the individual's relationship to others. It is expected that individuals who are "Husband" or "Wife" may have a higher likelihood of earning more than $50,000 per year compared to individuals who are "Own-child", "Not-in-family", "Unmarried", or "Other-relative".

To analyze the relationship between the feature and the task, we can examine the distribution of relationship values for each target class.

Here is the analysis:

For individuals who earn more than $50,000 per year (target class "yes"):
- Possible values of the relationship feature for target class "yes": ["Husband", "Wife"]

For individuals who earn less than or equal to $50,000 per year (target class "no"):
- Possible values of the relationship feature for target class "no": ["Own-child", "Not-in-family", "Unmarried", "Other-relative"]

Based on this analysis, we can generate the dictionary:

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