Based on prior knowledge and intuition, we can analyze the relationship between the feature "Recency" (months since last donation) and the target variable "Did the person donate blood?" (Yes or No). 

Analysis:

1. Recency values for target class "Yes" (donated blood):
   - Generally, individuals who have donated blood recently are more likely to donate again in the future. Therefore, we can expect to see lower recency values for the "Yes" class.
   - Common recency values for "Yes" class could be around 0 to 3 months, indicating recent donations.

2. Recency values for target class "No" (did not donate blood):
   - Individuals who have not donated blood for a long period may be less likely to donate in the future. Therefore, we can expect to see higher recency values for the "No" class.
   - Common recency values for "No" class could be around 4 to 30 months, indicating longer periods since the last donation.

Based on this analysis, let's generate a dictionary with typical recency values for each target class:

```json
{
	"yes": [0.5, 1.2, 2.8, 1.0, 0.2],
	"no": [6.7, 10.5, 12.3, 8.9, 7.1]
}
```

Note: The values provided in the dictionary are arbitrary and just serve as examples of typical recency values for each target class. The actual values may vary depending on the dataset and specific circumstances.