Based on the given feature description, the feature fnlwgt represents the number of units in the target population that the responding unit represents. To analyze the relationship between the feature and the task of earning more than 50000 dollars per year, we can consider the following:

1. Higher fnlwgt values may indicate a larger representation of the target population. This could potentially indicate a higher likelihood of earning more than 50000 dollars per year, especially if the individuals in the target population are higher-income earners.
2. Lower fnlwgt values may represent a smaller representation of the target population, which could indicate lower income levels and therefore a lower likelihood of earning more than 50000 dollars per year.

To create the dictionary with the specified format, including typical fnlwgt values for each target class, we can analyze the relationship further. Here is an example dictionary:

```json
{
	"no": [1500, 2000, 2500, 3000, 3500],
	"yes": [4500, 5000, 5500, 6000, 6500]
}
```

In this example, we assume that higher fnlwgt values indicate a higher likelihood of earning more than 50000 dollars per year. Therefore, the "yes" values are higher than the "no" values, representing individuals with a higher representation in the target population and a potentially higher income level. The values provided are just examples and can vary based on the specific data and analysis.