Based on prior knowledge, the feature "hours-per-week" can be assumed to have a relationship with the target variable "Does this person earn more than 50000 dollars per year?". 

It is generally expected that individuals who work more hours-per-week have a higher likelihood of earning more than $50,000 per year. However, there may also be cases where individuals who work fewer hours-per-week earn more than $50,000 due to higher hourly rates or other factors.

To analyze the relationship between the "hours-per-week" feature and the target variable, we can examine the distribution of hours-per-week for each target class. From this analysis, we can determine typical hours-per-week values for each target class.

Here is a dictionary with the requested information:

```json
{
	"no": [30, 35, 38, 40, 45],
	"yes": [40, 45, 50, 55, 60]
}
```

In this dictionary, the "no" class represents individuals who do not earn more than $50,000 per year, while the "yes" class represents individuals who earn more than $50,000 per year. The values in the lists are typical hours-per-week values for each target class.