Based on prior knowledge, the feature "education" is likely to have a significant relationship with the target variable "Does this person earn more than 50000 dollars per year?". Generally, individuals with higher levels of education tend to have better job opportunities and higher earning potential. However, it is important to conduct a specific analysis to determine how each category of education relates to the target.

To analyze the relationship, we can examine the distribution of education levels among individuals who earn more than 50000 dollars per year (yes) and those who earn less than or equal to 50000 dollars per year (no). We can then create a dictionary where the keys are "yes" and "no", and the values are lists of education levels.

Here is the dictionary generated based on the analysis:

```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"]
}
```

Please note that this analysis is based on general observations and might not accurately represent the relationship between education and earning above $50000 in every context. The specific dataset being analyzed should be considered for more accurate insights.