Based on prior knowledge, we can analyze how the feature "hours-per-week" relates to the task of determining whether a person earns more than 50000 dollars per year.

Typically, people who work longer hours tend to earn more money, as their income is directly proportional to the number of hours they work. However, it is important to consider that individuals may have different job types and roles, which might affect their income.

With that in mind, let's analyze the relationship between the "hours-per-week" feature and the target variable.

To create the desired dictionary, we need to identify 5 typical values for the "hours-per-week" feature for each target class ('no', 'yes'). Here is an example of how the dictionary would be structured:

```json
{
	"no": [20, 25, 30, 35, 40],
	"yes": [45, 50, 55, 60, 65]
}
```

In this example, 'no' represents individuals who earn less than or equal to $50000 per year, and 'yes' represents individuals who earn more than $50000 per year. The dictionary suggests that people who earn less than or equal to $50000 per year typically work around 20-40 hours per week, while those who earn more than $50000 per year typically work around 45-65 hours per week.

Keep in mind that these values are just examples and should be adjusted based on the specific dataset being analyzed.