```json
{
	"yes": [250.0, 500.0, 1000.0, 1500.0, 2000.0],
	"no": [50.0, 100.0, 200.0, 300.0, 400.0]
}
```
In analyzing the relationship between the feature "Monetary" and the task of whether the person donated blood, we can make a few assumptions:

1. Higher values of "Monetary" may indicate that the person donated more blood, while lower values may indicate that the person donated less blood or did not donate at all.
2. There might be some trends or patterns in the range of "Monetary" values for each target class.

Based on these assumptions, we can generate a dictionary with 5 typical Monetary values for each target class. The values provided in the dictionary are just examples and may vary depending on the dataset being analyzed.