Based on my prior knowledge, occupation can be a good predictor of income. Certain occupations tend to have higher salaries compared to others. Let's analyze the relationship between occupation and income.

To do this, we can calculate the percentage of individuals in each occupation category who earn more than 50000 dollars per year. Based on the analysis, we will create a dictionary with the requested format.

Here is the dictionary:

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

Please note that the "?" occupation category is not included in the dictionary as it is hard to predict the income based on this category. Additionally, the "no" list includes occupations that have a higher likelihood of earning less than 50000 dollars per year, while the "yes" list includes occupations with a higher likelihood of earning more than 50000 dollars per year.