Based on prior knowledge, the occupation of an individual can be an important factor in determining whether they earn more than 50000 dollars per year. Certain occupations are generally associated with higher incomes, such as 'Exec-managerial', 'Prof-specialty', and 'Sales', while others may be associated with lower incomes, such as 'Other-service', 'Handlers-cleaners', and 'Priv-house-serv'. However, the relationship between occupation and income can vary and there might be individuals in each occupation category who earn both above and below 50000 dollars per year.

Based on this analysis, here is the dictionary:

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

Please note that the occupation values included in the dictionary are based on general associations and may not capture all possible cases. We have included only those values that are known or can be reasonably assumed to have instances in both the "yes" and "no" classes.