Based on prior knowledge, it can be hypothesized that the feature "Recency" (months since last donation) would have a negative relationship with the task of whether a person donated blood. That is, as the recency of the last donation increases, the likelihood of donating blood again may decrease. 

To analyze this relationship further, let's assume that values for the "Recency" feature are given in months.

Here is an example dictionary showing the relationship between the "Recency" feature and the target variable, "Did the person donate blood?".

```json
{
	"yes": [0.5, 2.0, 3.5, 5.0, 6.0],  
	"no": [9.0, 12.0, 15.5, 20.0, 24.0]
}
```

In this example, the "Recency" values for the target class "yes" (indicating the person donated blood) are [0.5, 2.0, 3.5, 5.0, 6.0] months. On the other hand, for the target class "no" (indicating the person did not donate blood), the "Recency" values are [9.0, 12.0, 15.5, 20.0, 24.0] months.

Please note that the specific values provided in the example are just placeholders and may not represent the actual relationship between the feature and target variable in the given dataset. The values would need to be obtained through data analysis.