Based on prior knowledge, we can analyze the relationship between the feature "Time" (months since first donation) and the task of whether the person donated blood or not.

It is reasonable to assume that individuals who have donated blood in the past are more likely to donate again in the future. Therefore, we can expect that individuals who have a shorter duration since their first donation (lower "Time" values) are more likely to donate blood.

Based on this analysis, we can create a dictionary with the following information:

```json
{
    "yes": [1.5, 4.2, 3.8, 2.1, 5.6],
    "no": [14.3, 9.7, 11.2, 12.8, 18.9]
}
```

Here, the "yes" class represents individuals who donated blood, and the "no" class represents individuals who did not donate blood. The values within the lists represent specific "Time" values (in months) that are typical for each class.

Please note that the specific values provided in the dictionary are just examples and should be replaced with the actual data from the dataset you are working with.