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

It is expected that individuals who donated blood more recently would be more likely to donate again, while those who donated a long time ago may be less likely to donate again. Therefore, we can hypothesize that the values of "Time" for the target class "yes" (person donated blood) would be relatively smaller compared to the values for target class "no" (person did not donate blood). 

Here's a dictionary that showcases 5 typical Time values for each target class:

```json
{
	"yes": [2.5, 4.0, 3.2, 1.8, 2.1],
	"no": [11.5, 9.4, 12.0, 10.1, 8.7]
}
```
Please note that the values provided in the dictionary are arbitrary and may not be accurate representations of the actual relationship between the feature and target in a real dataset. The exact values would depend on the specific data and analysis conducted.