Based on prior knowledge, we can analyze the relationship between age and the target variable of earning more than 50000 dollars per year.

Generally, as individuals gain more experience and grow older, their income tends to increase. Therefore, it is likely that older individuals have a higher chance of earning more than 50000 dollars per year. However, this is a general trend and there can be exceptions.

To generate the dictionary with the specified format, we will select typical age values for each target class ('yes' and 'no'):

```json
{
	"no": [18, 22, 30, 40, 50],
	"yes": [28, 35, 45, 55, 65]
}
```

Please note that these specific age values are just examples and may not reflect the actual relationship between age and the target variable in the dataset you are working with.