Based on prior knowledge, the feature "educational-num" represents the highest level of education achieved in numerical form. To analyze the relationship between this feature and the task of earning more than 50000 dollars per year, we can observe the distribution of "educational-num" values for each target class (yes or no).

Here is the dictionary with the values of "educational-num" for each target class:

```json
{
	"no": [1, 2, 3, 4, 5], 
	"yes": [9, 10, 11, 12, 13]
}
```

From the analysis, we can see that to earn more than 50000 dollars per year, individuals tend to have higher values of "educational-num" (typically ranging from 9 to 13). On the other hand, individuals earning less than or equal to 50000 dollars per year have lower values of "educational-num" (typically ranging from 1 to 5).

Please note that these are just example values and the actual distribution may vary depending on the dataset and context of the task.