Based on my prior knowledge, I will analyze the relationship between the feature "Monetary" (total blood donated in c.c.) and the task of determining whether the person donated blood or not.

Here's a dictionary that describes the relationship between the "Monetary" feature and the target variable:

```json
{
    "yes": [200.0, 300.0, 400.0, 500.0, 600.0],
    "no": [0.0, 100.0, 150.0, 250.0, 350.0]
}
```

Explanation:
- For the "yes" target class (person donated blood), typical values of the "Monetary" feature are [200.0, 300.0, 400.0, 500.0, 600.0] c.c. of blood donated.
- For the "no" target class (person did not donate blood), typical values of the "Monetary" feature are [0.0, 100.0, 150.0, 250.0, 350.0] c.c. of blood donated.

Note: The typical values provided above are just examples to illustrate the relationship between the feature and target. The actual typical values may vary depending on the specific dataset and analysis.