Based on my prior knowledge, education level is likely to be a strong predictor of income. In general, individuals with higher education levels tend to have higher incomes.

To analyze the relationship between education and the task of earning more than $50,000 per year, I would look at the distribution of education levels among those who earn more than $50,000 and those who earn less than or equal to $50,000.

From the given feature description, we can see that education is a categorical variable with multiple levels. To analyze the relationship, I would calculate the percentage of individuals in each education category who earn more than $50,000 and those who earn less than or equal to $50,000.

Based on this analysis, I will create a dictionary with details:

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

In this case, individuals with education levels including 11th grade, HS-grad, Some-college, 10th grade, 7th-8th grade, 9th grade, 12th grade, 1st-4th grade, 5th-6th grade, and Preschool are more likely to earn less than or equal to $50,000 per year. On the other hand, individuals with education levels including Assoc-acdm, Prof-school, Bachelors, Masters, Doctorate, and Assoc-voc are more likely to earn more than $50,000 per year.