Based on prior knowledge, the DiabetesPedigreeFunction is a numeric variable that represents the likelihood of a person developing diabetes based on their family history. Higher values of the DiabetesPedigreeFunction indicate a higher risk of developing diabetes.

To analyze the relationship between the DiabetesPedigreeFunction and the task "Does this person have diabetes?", we can compare the distribution of DiabetesPedigreeFunction values for individuals with diabetes (yes) and those without diabetes (no).

Here is the dictionary that includes the typical DiabetesPedigreeFunction values for each target class ('yes' and 'no'):

```json
{
    "yes": [0.258, 0.483, 0.832, 1.021, 1.394],
    "no": [0.084, 0.201, 0.304, 0.491, 0.679]
}
```

Please note that these values are just examples and may not accurately represent the actual distribution of DiabetesPedigreeFunction values for individuals with and without diabetes. To provide a more accurate analysis, it would be necessary to analyze a dataset specifically related to diabetes and extract the appropriate range of values for the DiabetesPedigreeFunction feature.