Based on prior knowledge, the DiabetesPedigreeFunction is a numeric value that represents the likelihood of diabetes based on family history. A higher value indicates a higher risk of diabetes.

To analyze the relationship between the DiabetesPedigreeFunction feature and the task of determining whether a person has diabetes or not, we can compare the values of DiabetesPedigreeFunction for individuals with and without diabetes.

Assuming "yes" represents individuals with diabetes and "no" represents individuals without diabetes, we can analyze the DiabetesPedigreeFunction values for each target class.

Here is the analysis and the requested dictionary:

```json
{
	"yes": [0.627, 0.351, 0.672, 0.415, 0.926],
	"no": [0.351, 0.398, 0.334, 0.45, 0.718]
}
```

In the "yes" class, individuals with diabetes have DiabetesPedigreeFunction values ranging from 0.415 to 0.926. And in the "no" class, individuals without diabetes have DiabetesPedigreeFunction values ranging from 0.334 to 0.718.

Please note that these values are just examples and might not represent the actual data. This is a hypothetical response based on the given information.