Based on prior knowledge, we can analyze the relationship between the feature "hours-per-week" and the task of determining whether the person earns more than $50,000 per year.

Typically, individuals who work more hours per week have a higher chance of earning more than $50,000 per year. This is because higher-paying jobs often require longer working hours. However, this relationship might not hold true for all cases, as some high-paying jobs may not require long hours, and some low-paying jobs might require significant overtime.

To create the dictionary with the specific details, we need to identify the typical hours-per-week values for each target class ('no' or 'yes'). 

Let's assume the following values as typical for each class:
- For the 'no' class (earning less than or equal to $50,000 per year):
    - 30, 35, 37, 40, 42
- For the 'yes' class (earning more than $50,000 per year):
    - 45, 50, 55, 60, 65

Using this information, we can generate the dictionary:

```json
{
	"no": [30, 35, 37, 40, 42],
	"yes": [45, 50, 55, 60, 65]
}
```

This dictionary shows the typical hours-per-week values for each target class in the given task.