Based on prior knowledge, the relationship between race and earning more than 50000 dollars per year can vary depending on the specific dataset. However, race can sometimes be a contributing factor due to systemic biases and discrimination in some societies. To analyze the relationship, we need access to the dataset and perform statistical analysis.

Here is an example of how the dictionary could be created based on the analysis of the relationship between race and the task:

```json
{
	"no": ["Black", "Asian-Pac-Islander", "Amer-Indian-Eskimo"],  
	"yes": ["White", "Other"]  
}
```

In this example, the dictionary suggests that individuals of races mentioned in the "no" list (Black, Asian-Pac-Islander, Amer-Indian-Eskimo) are less likely to earn more than 50000 dollars per year compared to those mentioned in the "yes" list (White, Other). However, since this analysis is hypothetical, the actual relationship may vary based on the specific dataset being analyzed.