Based on the given feature description and task, we need to analyze the relationship between the education level and whether the person earns more than $50000 per year.

To analyze this relationship, we can take a look at the general assumption that higher education levels often lead to higher incomes. However, there may be exceptions, as there could be other factors influencing income, such as job sector, experience, and skills.

Let's analyze the relationship between education level and income:

- It is expected that individuals with higher education levels like 'Masters' or 'Doctorate' would have higher chances of earning more than $50000 per year.
- Individuals with a 'Bachelors' degree might also have a higher chance of earning more than $50000 per year compared to those with lower levels of education.
- Individuals with 'HS-grad' or 'Some-college' education might have a more balanced distribution between earning more or less than $50000 per year.
- Individuals with lower education levels like '11th', '10th', '7th-8th', '5th-6th', '9th', '12th', '1st-4th', or 'Preschool' are less likely to earn more than $50000 per year.

Based on this 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"]
}
```

In this dictionary, the values in the "no" list represent the education levels of individuals who are less likely to earn more than $50000 per year. The values in the "yes" list represent the education levels of individuals who are more likely to earn more than $50000 per year.

Please note that this analysis is based on general assumptions and trends, and there may be specific cases where the relationship between education level and income differs.