To analyze the relationship between the feature 'Frequency' and the task 'Did the person donate blood?', we can start by looking at previous research or data about blood donation patterns. Based on my prior knowledge, I can suggest the following ranges of values for the feature 'Frequency':

For 'yes' (donated blood):
- Low frequency: 1-2 donations
- Moderate frequency: 3-5 donations
- High frequency: 6-10 donations
- Very high frequency: 11-15 donations
- Extremely high frequency: 16 or more donations

For 'no' (did not donate blood):
- No donations: 0
- Low frequency: 1-2 donations
- Moderate frequency: 3-5 donations
- High frequency: 6-10 donations
- Very high frequency: 11 or more donations

Based on this analysis, let's create the dictionary representing the relationship between the feature 'Frequency' and the target variable ('yes' or 'no'):

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