Based on prior knowledge and analysis, the relationship between the "Time" feature and the task of determining whether a person donated blood can be analyzed as follows:

As there is no specific information provided about the target variable distribution or thresholds, we will assume that a person is considered as having donated blood if they have made at least one donation within the last 12 months. 

Based on this assumption, we can create a dictionary with the following format:

```json
{
    "yes": [0.5, 2.3, 6.1, 9.8, 11.2],
    "no": [12.4, 15.7, 18.9, 21.6, 24.3]
}
```

In this dictionary, the "yes" key represents individuals who have donated blood, and the associated values represent typical Time values for this target class. Similarly, the "no" key represents individuals who have not donated blood, and the associated values represent typical Time values for this target class.

Note that these values are just examples and can vary based on the specific data and analysis.