Based on the feature description of "fnlwgt" and the given task of predicting whether a person earns more than 50000 dollars per year, let's analyze the relationship between the feature and the target class.

The "fnlwgt" feature 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 based on prior knowledge.

Although it's difficult to determine the exact ranges without more context, we can make some assumptions and generate a dictionary with example values for each target class.

Here is the dictionary containing example fnlwgt values for the target classes "no" and "yes":

```json
{
	"no": [12285, 14465, 16065, 18607, 19577],
	"yes": [25514, 29843, 31192, 34518, 36885]
}
```

Please note that the provided values are just examples and not definitive ranges. To get a more accurate and precise analysis, further exploration and knowledge about the dataset are required.