Based on the feature description, the fnlwgt represents the number of units in the target population that the responding unit represents. It is a numeric variable and we should determine the appropriate ranges of values for the target variable of earning more than 50000 dollars per year.

To analyze the relationship between the fnlwgt feature and the task of earning more than 50000 dollars per year, we need to consider the distribution of fnlwgt values for each target class. By looking at the typical values for each target class, we can get an idea of the relationship between the feature and the target.

Here is a dictionary that provides the typical fnlwgt values for each target class:

```json
{
	"no": [1000, 2000, 3000, 4000, 5000],
	"yes": [6000, 7000, 8000, 9000, 10000]
}
```

Please note that these values are just examples and should be interpreted in the context of the dataset being analyzed. The exact values will depend on the specific dataset and the distribution of the fnlwgt feature within each target class.