Based on prior knowledge, the workclass feature can be related to the person's income. Some workclass categories are more likely to earn a higher income, while others may earn a lower income. Let's analyze the relationship between the workclass feature and the target variable "Does this person earn more than 50000 dollars per year?".

Here is the analysis and the resulting dictionary:

```json
{
    "no": ["Private", "?", "Self-emp-not-inc"],  
    "yes": ["Local-gov", "Federal-gov", "State-gov", "Self-emp-inc"]  
}
```

Explanation:
- The categories "Private", "?", and "Self-emp-not-inc" are more likely to earn less than $50,000 per year.
- The categories "Local-gov", "Federal-gov", "State-gov", and "Self-emp-inc" are more likely to earn more than $50,000 per year.

Note: In this analysis, the categories "Without-pay" and "Never-worked" are not included in the dictionary as they do not provide clear indications of the person's income.