Based on my prior knowledge and assuming that Time represents the number of months since the first blood donation, I can analyze the relationship between the feature and the target variable.

In general, it is possible that the amount of time since the first donation can influence whether a person will donate blood again. Here is an analysis of the relationship:

- For the target class "yes" (indicating that the person did donate blood), typical values for the feature "Time" could include:
    - [1.0, 2.5, 3.0, 5.5, 10.0]

- For the target class "no" (indicating that the person did not donate blood), typical values for the feature "Time" could include:
    - [3.5, 7.0, 8.0, 12.5, 15.0]

Based on this analysis, here is the dictionary representing the relationship between the feature "Time" and the target variable "Did the person donate blood?":

```json
{
    "yes": [1.0, 2.5, 3.0, 5.5, 10.0],
    "no": [3.5, 7.0, 8.0, 12.5, 15.0]
}
```

Please note that the specific values and ranges may vary depending on the dataset and the actual relationship between the feature and the target.