Based on prior knowledge, we can analyze the relationship between the feature "Time, months since first donation" and the task "Did the person donate blood?". 

The feature represents the number of months since the person made their first blood donation. We can assume that individuals who have donated blood recently are more likely to donate blood again, while individuals who have not donated blood for a long time may be less likely to donate again. 

Based on this analysis, we can create a dictionary with specific details:

```json
{
	"yes": [1.0, 2.0, 3.5, 4.0, 5.0], 
	"no": [11.0, 12.0, 14.0, 15.5, 16.0]
}
```

In the "yes" class, the feature "Time, months since first donation" is likely to have values such as 1.0, 2.0, 3.5, 4.0, and 5.0. These values indicate recent donations, suggesting that individuals with these characteristics are more likely to donate blood again.

In the "no" class, the feature "Time, months since first donation" is likely to have values such as 11.0, 12.0, 14.0, 15.5, and 16.0. These values indicate longer periods since the first donation, suggesting that individuals with these characteristics are less likely to donate blood again.