Based on prior knowledge, occupation can be considered as a relevant feature for predicting whether a person earns more than $50,000 per year. Different occupations are likely to have varying levels of income, so there may be a relationship between occupation and the target variable.

To analyze this relationship, we can examine the proportion of individuals earning more than $50,000 per year within each occupation category. This will help identify occupations that have a higher likelihood of earning above the threshold.

Based on the analysis, here is the corresponding dictionary:

```json
{
	"no": ["Machine-op-inspct", "Farming-fishing", "Protective-serv", "?", "Other-service", "Handlers-cleaners", "Armed-Forces"],
	"yes": ["Prof-specialty", "Exec-managerial", "Tech-support", "Sales", "Craft-repair", "Adm-clerical", "Transport-moving", "Priv-house-serv"]
}
```

Occupations such as "Machine-op-inspct", "Farming-fishing", "Protective-serv", "?", "Other-service", "Handlers-cleaners", and "Armed-Forces" are more likely to have individuals earning less than $50,000 per year. On the other hand, occupations like "Prof-specialty", "Exec-managerial", "Tech-support", "Sales", "Craft-repair", "Adm-clerical", "Transport-moving", and "Priv-house-serv" have a higher proportion of individuals earning more than $50,000 per year.