Based on my prior knowledge, the feature "Time, months since first donation" may have a relationship with the task of whether the person donated blood. It is reasonable to assume that individuals who donated blood more recently (lower values of the feature) are more likely to have donated blood again (target class "yes").

Based on this analysis, let's create the dictionary:

```json
{
	"yes": [1.0, 2.0, 3.0, 4.0, 5.0],
	"no": [15.0, 18.0, 20.0, 23.0, 25.0]
}
```

In this example, the values of "Time" for the target class "yes" are [1.0, 2.0, 3.0, 4.0, 5.0], which represent individuals who donated blood recently. On the other hand, the values of "Time" for the target class "no" are [15.0, 18.0, 20.0, 23.0, 25.0], indicating individuals who had a significant time gap since their last donation.

Please note that the range of possible values for the feature "Time" should be determined based on the specific dataset and problem domain.