Analysis:

The workclass feature indicates the employment status of an individual. It is a categorical variable with multiple categories such as 'Private', 'Local-gov', 'Self-emp-not-inc', 'Federal-gov', 'State-gov', 'Self-emp-inc', 'Without-pay', 'Never-worked', and '?'.

To analyze the relationship between the workclass feature and the target variable of whether a person earns more than $50,000 per year, we can compare the distribution of workclass values for both the 'yes' and 'no' classes.

Based on prior knowledge, it is possible that certain workclass values may be more likely to indicate higher income levels. For example, individuals in 'Self-emp-inc' or 'Federal-gov' may have higher chances of earning more than $50,000 per year compared to 'Without-pay' or 'Never-worked'. 

Since there is a possibility that some workclass values may not provide clear indications of income levels, it is not necessary to include them in the dictionary if they have empty lists.

Dictionary:

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

Note: The values 'Without-pay' and 'Never-worked' are not included in the dictionary as there is not enough information to determine their relationship with income levels. The '?' value is included assuming it represents missing or unknown data.