Based on prior knowledge and assumptions, we can analyze the relationship between the "education" feature and the task of determining if a person earns more than 50000 dollars per year. Generally, the level of education is positively correlated with higher income. People with higher education levels tend to have more specialized skills and qualifications, leading to higher-paying jobs. However, it's important to note that this correlation may not hold true for all cases.

To create the dictionary, we need to examine the relationship between the "education" feature and the target variable. We can do this by analyzing the distribution of different education levels for each target class.

Based on the analysis, the dictionary can be generated as follows:

```json
{
	"no": ["11th", "HS-grad", "10th", "7th-8th", "5th-6th", "9th", "12th", "1st-4th", "Preschool"],
	"yes": ["Assoc-acdm", "Some-college", "Prof-school", "Bachelors", "Masters", "Doctorate", "Assoc-voc"]
}
```

In this dictionary, the "no" key represents the target class indicating that the income is below or equal to $50,000 per year. The corresponding values are education categories that are more likely to be associated with lower income levels. The "yes" key represents the target class indicating that the income is above $50,000 per year. The corresponding values are the education categories that are more likely to be associated with higher income levels.

Please note that this is a general analysis based on assumptions and the actual relationship between education and income may vary in specific cases.