Based on prior knowledge, the workclass feature may have a relationship with the target variable "Does this person earn more than 50000 dollars per year?". Let's analyze this relationship and create the dictionary.

```json
{
	"no": ["Without-pay", "Never-worked"],  
	"yes": ["Private", "Local-gov", "Self-emp-not-inc", "Federal-gov", "State-gov", "Self-emp-inc", "?"]
}
```

Explanation:
- People who are without pay or have never worked are less likely to earn more than $50000 per year, so these values are included in the "no" list.
- The remaining workclass categories, including private, local government, self-employed not incorporated, federal government, state government, self-employed incorporated, and those with missing values ("?"), could potentially have individuals who earn more than $50000 per year. Hence, these values are included in the "yes" list.

Please note that this is an analysis based on general assumptions, and the specific relationship of the workclass feature with the target variable can only be determined by analyzing the actual dataset.