Based on prior knowledge, the feature "Frequency" represents the total number of blood donations made by a person. To analyze the relationship between this feature and the task of determining if a person donated blood or not, we can consider the following:

1. Yes, the person donated blood: In this case, we can expect the Frequency to be relatively high as individuals who donate blood are likely to do so regularly. 

2. No, the person did not donate blood: Here, we can expect the Frequency to be relatively low as individuals who do not donate blood are unlikely to have made multiple donations.

Based on this analysis, we can generate the following dictionary:

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

This dictionary includes 5 typical Frequency values for each target class ('yes' and 'no'). The values are presented as floats in the lists.