Based on prior knowledge, the DiabetesPedigreeFunction is a numeric variable that measures the likelihood of a person developing diabetes based on their family history. It ranges from 0 to 2, with higher values indicating a higher risk.

To analyze the relationship between the DiabetesPedigreeFunction and the task of whether a person has diabetes or not, we can do the following:

1. Calculate the average DiabetesPedigreeFunction for individuals with and without diabetes.
2. Examine the distribution of DiabetesPedigreeFunction values for each target class.
3. Identify typical DiabetesPedigreeFunction values for individuals with and without diabetes.

Based on these analyses, we can create the dictionary as follows:

```json
{
	"yes": [0.5, 0.8, 1.2, 1.5, 1.9],
	"no": [0.1, 0.3, 0.6, 1.0, 1.3]
}
```

Please note that these values are just hypothetical examples and should be customized to the specific dataset and analysis.