Based on my prior knowledge, I can analyze the relationship between the feature "Monetary" and the task of whether the person donated blood or not.

It is logical to assume that individuals who donate blood may have a higher total blood donated value compared to those who did not donate. However, the correlation may not be very strong, as individual decisions to donate blood can vary for various reasons.

To create the required dictionary, I will need a dataset containing information about individuals, their total blood donated in c.c., and whether they have donated blood ('yes' or 'no').

Assuming I have access to such data, I can generate the dictionary with typical Monetary values for each target class.

```json
{
	"yes": [300.0, 500.0, 800.0, 1000.0, 1200.0],
	"no": [50.0, 100.0, 150.0, 200.0, 250.0]
}
```

Please note that the values provided in the dictionary are just examples and may not represent the actual values in the dataset.