Based on prior knowledge, we can assume that the Recency feature represents the number of months since the individual's last blood donation. In this case, a lower value of Recency would indicate a more recent donation, while a higher value would indicate a longer period of time since the last donation.

To analyze the relationship between Recency and the task, we can consider the following:

1. Individuals who donated blood recently (lower Recency values) are more likely to donate again, resulting in a higher chance of being classified as "yes" for the task.

2. Individuals who haven't donated blood in a long time (higher Recency values) are less likely to donate again, resulting in a higher chance of being classified as "no" for the task.

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

```json
{
	"yes": [1.0, 2.0, 3.0, 4.0, 5.0],
	"no": [10.0, 15.0, 20.0, 25.0, 30.0]
}
```

The values 1.0, 2.0, 3.0, 4.0, and 5.0 are typical Recency values for individuals who have donated blood (target class 'yes'). On the other hand, the values 10.0, 15.0, 20.0, 25.0, and 30.0 are typical Recency values for individuals who haven't donated blood (target class 'no').