Based on prior knowledge, the occupation of an individual can be related to their income. Some occupations generally tend to have higher incomes than others. To analyze the relationship between occupation and whether a person earns more than 50000 dollars per year, we can look at the frequency distribution of occupations for each target class.

Here is the dictionary with the analysis results:

```json
{
	"no": ["Machine-op-inspct", "Farming-fishing", "Protective-serv", "?", "Other-service", "Craft-repair", "Adm-clerical", "Handlers-cleaners", "Armed-Forces"],

	"yes": ["Prof-specialty", "Exec-managerial", "Tech-support", "Sales"]
}
```

In the "no" class, the occupations are mainly associated with lower paying jobs such as machine operators, farmers, and service workers. The occupation value "?" indicates missing or unknown values.

In contrast, the "yes" class includes occupations that typically have higher incomes such as professionals, executives, and salespeople.

It is important to note that this analysis is based on general trends. There may be exceptions where individuals in lower-paying occupations may earn more than 50000 dollars per year, and vice versa.