Based on prior knowledge, we can analyze the relationship between the feature "hours-per-week" and the target variable "Does this person earn more than 50000 dollars per year?".

Usually, individuals who work more hours per week tend to earn more than those who work fewer hours per week. However, it is important to consider that the relationship may not be linear, and there might be other factors influencing the income level apart from working hours.

Now, let's analyze the feature "hours-per-week" based on the target variable:

- If someone works fewer than 40 hours per week, it is less likely for them to earn more than 50000 dollars per year. This can be due to working part-time or having a lower-paying job.
- Working exactly 40 hours per week can be considered as a typical full-time workweek. It is possible for someone working exactly 40 hours to earn either less or more than 50000 dollars.
- If someone works between 41 and 50 hours per week, they are more likely to earn more than 50000 dollars per year. This can indicate working overtime or having a higher-paying job.
- Working between 51 and 60 hours per week can further increase the chances of earning more than 50000 dollars per year.
- Working more than 60 hours per week can also increase the likelihood of earning higher income, although it might be associated with increased stress and fatigue.

Based on this analysis, we can create the requested dictionary:

```json
{
	"no": [30, 35, 37, 39, 40], 
	"yes": [41, 45, 50, 55, 60]
}
```

Please note that these values are just indicative and can vary based on the specific dataset and the relationship between the features and target variable.