Based on prior knowledge, the Recency feature represents the number of months since the person's last blood donation. 

Analysis: 

The Recency feature is likely to have a strong negative correlation with the target variable. In other words, a shorter duration since the last donation is more likely to indicate that the person will donate blood again. Therefore, for the 'yes' class (indicating that the person did donate blood), we would expect to see smaller values for Recency. 

On the other hand, for the 'no' class (indicating that the person did not donate blood), we would expect to see larger values for Recency, indicating a longer duration since the last donation. 

Based on these assumptions, let's create the dictionary:

```json
{
	"yes": [2.5, 3.8, 1.2, 4.9, 2.1],
	"no": [12.3, 9.7, 8.1, 11.4, 10.5]
}
```

In this example, the values provided for the 'yes' class represent 5 typical Recency values for people who did donate blood, while the values for the 'no' class represent 5 typical Recency values for people who did not donate blood. Please note that these values are arbitrary and should be replaced with actual data for a more accurate analysis.