Based on prior knowledge, we can analyze the relationship between the feature "Monetary" (total blood donated in c.c.) and the target variable (Did the person donate blood?).

In general, it is intuitive to assume that individuals who have donated blood in the past (target class "yes") would have higher values of the "Monetary" feature compared to individuals who have not donated blood (target class "no").

Based on this analysis, we can create the dictionary as follows:

```json
{
	"yes": [300.0, 500.0, 700.0, 1000.0, 1500.0],
	"no": [0.0, 50.0, 100.0, 200.0, 250.0]
}
```

Please note that these values are just examples and should not be considered as definitive ranges. The actual ranges and values may vary depending on the specific dataset and the context of the problem.