Based on my prior knowledge, the feature "Recency" represents the number of months since the last blood donation. To analyze the relationship between this feature and the task of whether the person donated blood or not, I would consider the following:

1. People who have donated blood more recently might be more likely to donate again.
2. People who have not donated blood for a longer time might be less likely to donate again.
3. There might be a limit or threshold after which the likelihood of donating again decreases significantly.

Based on these assumptions, we can analyze the relationship between the feature "Recency" and the task of donation as follows:

For the target class "yes" (person donated blood):
- Typical Recency values: [0.5, 1.2, 2.0, 3.5, 5.0] (representing recent donations within the past few months/years).
- Other possible Recency values: [0.3, 0.8, 1.8, 2.5, 4.0]

For the target class "no" (person did not donate blood):
- Typical Recency values: [12.0, 18.0, 24.0, 30.0, 36.0] (representing donations not made in the past year).
- Other possible Recency values: [15.0, 20.0, 26.5, 32.0, 40.0]

Based on this analysis, the dictionary representing the relationship between the feature "Recency" and the task "Did the person donate blood?" would be as follows:

```json
{
	"yes": [0.5, 1.2, 2.0, 3.5, 5.0],
	"no": [12.0, 18.0, 24.0, 30.0, 36.0]
}
```