Based on prior knowledge and analysis, we can assume that the feature "Frequency" (total number of donations) will have a positive relationship with the target variable "Did the person donate blood?". The more frequent a person donates blood, the more likely they are to continue donating in the future.

To create the dictionary with the requested format, we need to identify typical frequency values for each target class ('yes' and 'no'). Here is an example dictionary:

```json
{
	"yes": [2.0, 3.0, 4.0, 5.0, 6.0],
	"no": [0.0, 1.0, 7.0, 8.0, 9.0]
}
```

In this example, we are assuming that a frequency value of 0.0 represents individuals who have never donated blood before (target class 'no'), while frequency values of 2.0, 3.0, 4.0, 5.0, and 6.0 represent individuals who have previously donated blood and continue to do so (target class 'yes'). The specific values provided in the dictionary are arbitrary and may vary based on the actual data and context.