Based on prior knowledge, we can analyze the relationship between the marital status feature and the task of whether a person earns more than 50000 dollars per year.

Intuitively, it is expected that individuals who are married, especially those in a civilian or armed forces marriage, are more likely to earn higher incomes. On the other hand, individuals who are never-married, widowed, divorced, or separated might have lower incomes.

Based on this analysis, we can create a dictionary with the values for the marital status feature corresponding to each target class:

```json
{
    "no": ["Never-married", "Widowed", "Divorced", "Separated", "Married-spouse-absent"],
    "yes": ["Married-civ-spouse", "Married-AF-spouse"]
}
```

In this case, we only include the values that are more likely to be associated with each target class, as mentioned in the task description.