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

The feature "Time" represents the duration in months since the first blood donation. Intuitively, it is possible that individuals who donated blood recently (lower values of "Time") are more likely to donate again in the future, while individuals with longer intervals since their first donation (higher values of "Time") might be less likely to donate again.

To create the dictionary with the requested format, I will assume the following ranges of values for the feature "Time":
- Recent donors (yes): 0-12 months
- Infrequent donors (no): 25-48 months

Based on this analysis, I will create the following dictionary:

```json
{
    "yes": [0.5, 1.0, 2.5, 3.0, 6.0],
    "no": [25.0, 28.5, 31.0, 36.0, 40.0]
}
```

Please note that the values above are just examples and might not accurately represent the actual distribution of "Time" values for each target class. To obtain more accurate values, a proper analysis of real data would be required.