Based on 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, we can make the following observations:

1. If the person donated blood recently, it is more likely that they will not donate again in the near future. Therefore, we can expect a higher representation of "no" in the target class for smaller values of Recency.

2. On the other hand, if the person donated blood a long time ago, they may be more likely to donate again. So, we can expect a higher representation of "yes" in the target class for larger values of Recency.

Based on these observations, the analysis of the relationship between the feature "Recency" and the task "Did the person donate blood?" can be summarized in the following dictionary:

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

In this dictionary, the values in the "yes" list represent typical Recency values for the target class "yes", indicating that people who donated blood have recency values of 1.0, 2.0, 3.0, 4.0, and 5.0 (measured in months). Similarly, the values in the "no" list represent typical Recency values for the target class "no", indicating that people who did not donate blood have recency values of 20.0, 15.0, 25.0, 10.0, and 30.0 (measured in months). Note that these values are just examples and may vary depending on the specific dataset being analyzed.