Based on prior knowledge, the marital status of an individual can potentially be indicative of their income level. Let's analyze the relationship between the "marital-status" feature and the task at hand.

Marital status can have an impact on an individual's earnings. In general, individuals who are married are more likely to have higher incomes compared to those who are not married. However, the specific categories within marital status might provide further insights.

Let's analyze the relationship between the "marital-status" feature and the target variable:

- "Never-married": It is relatively common for individuals who have never been married to have lower incomes, as they might have fewer financial responsibilities.
- "Married-civ-spouse": This category typically includes individuals who are married to a civilian spouse. It is likely that individuals in this category have higher incomes compared to unmarried individuals.
- "Widowed": People who have lost their spouses may have varying income levels. It is difficult to make a decisive prediction regarding the income level based solely on this category.
- "Divorced": Individuals who are divorced might have diverse income levels depending on other aspects of their life. It is not straightforward to predict their income level solely based on this category.
- "Separated": Similar to the divorced category, individuals who are separated may have varying income levels based on other factors in their life. It is not easy to predict their income level solely based on this category.
- "Married-spouse-absent": In this category, individuals are married but are currently living apart from their spouse. Predicting income solely based on this category would be difficult.
- "Married-AF-spouse": This category includes individuals who are married to a spouse in the Armed Forces. It is likely that individuals in this category have higher incomes compared to unmarried individuals.

Based on this analysis, we can create the dictionary as follows:

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

Please note that this is a general analysis and predictions regarding income levels based solely on marital status might not always hold true.