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

The feature "Time" represents the number of months since the person's first donation. We can assume that the longer the time since the first donation, the more likely the person has donated blood again, and therefore the target class would be "yes". Conversely, if the time since the first donation is shorter, it is less likely that the person has donated blood again, leading to the target class "no".

Based on this analysis, we can create a dictionary with information about the feature "Time" for each target class:

```json
{
	"yes": [2.0, 5.0, 9.0, 12.0, 15.0],
	"no": [0.5, 1.0, 1.5, 3.0, 4.5]
}
```

In this example, we have included 5 typical values for each target class ("yes" and "no"). The values presented are just examples and can be adjusted based on the actual data and domain knowledge.