Based on prior knowledge, the level of education achieved by an individual can have a significant impact on their income. Generally, individuals with higher levels of education tend to earn more. Therefore, it is likely that individuals with higher levels of education will have a higher probability of earning more than $50,000 per year.

To analyze the relationship between education and the target variable (earning more than $50,000 per year), we can examine the distribution of education levels for each target class.

Here is the dictionary representing the relationship between education and the target variable:

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

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

It's important to note that this analysis is based on general trends and may not hold true for every individual. However, it provides an overall understanding of the relationship between education and income.