Based on prior knowledge, I can analyze the relationship between the feature "Frequency" and the target variable "Did the person donate blood?"

Typically, individuals who donate blood regularly tend to have higher values of the "Frequency" feature, whereas those who do not donate blood have lower values. 

To create the dictionary with specific details, here is the analysis:

```json
{
	"yes": [14.0, 16.0, 19.0, 23.0, 30.0], 
	"no": [2.0, 4.0, 6.0, 8.0, 10.0]
}
```

In the case of the target class 'yes', typical values for the feature 'Frequency' can be 14.0, 16.0, 19.0, 23.0, and 30.0. 
In the case of the target class 'no', typical values for the feature 'Frequency' can be 2.0, 4.0, 6.0, 8.0, and 10.0.