Based on prior knowledge, education level can be a good indicator of a person's earning potential. In general, individuals with higher levels of education (such as Masters or Doctorate) are more likely to earn higher salaries compared to those with lower levels of education (such as High School Grad or 9th grade).

To analyze the relationship between education and the target variable ("Does this person earn more than 50000 dollars per year?"), we can examine the distribution of education levels for each target class (yes and no).

To create the dictionary, we need to go through the data and group the education levels based on the target classes. However, it is important to note that we do not have access to the data itself, so we can only provide a general analysis.

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

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

Please note that this is a general analysis and the specific distribution of education levels for each target class may vary depending on the dataset. It is recommended to perform an actual analysis on the dataset to obtain accurate results.