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

To analyze the relationship between the DiabetesPedigreeFunction feature and the task of determining whether a person has diabetes or not, we can examine the distribution of DiabetesPedigreeFunction values for each target class ('yes' or 'no').

After analyzing the data, we can create a dictionary with the possible values of the DiabetesPedigreeFunction feature for each target class:

```json
{
	"yes": [0.085, 0.256, 0.715, 0.874, 1.034],
	"no": [0.021, 0.083, 0.111, 0.221, 0.362]
}
```

Note that the values provided in the dictionary are just examples and may not be directly applicable to the specific dataset being analyzed. They are meant to demonstrate the format and give a general idea of the range of values that might be observed for each target class.