Based on prior knowledge, the DiabetesPedigreeFunction is a numeric variable that represents the diabetes pedigree function. This function provides a measure of the hereditary risk of diabetes based on the patient's family history. 

To analyze the relationship between DiabetesPedigreeFunction and the task of whether a person has diabetes or not, we can examine the data and determine the appropriate ranges of values for each target class. 

Once the data has been examined, we can create a dictionary with the required format, including typical DiabetesPedigreeFunction values for each target class. 

```json
{
	"yes": [0.4, 0.8, 1.2, 1.6, 2.0],
	"no": [0.1, 0.3, 0.6, 1.0, 1.5]
}
```

In this example, for the "yes" target class, typical values of DiabetesPedigreeFunction could be 0.4, 0.8, 1.2, 1.6, and 2.0. For the "no" target class, typical values could be 0.1, 0.3, 0.6, 1.0, and 1.5. These values are just examples and may vary depending on the dataset being analyzed.