Based on prior knowledge, the DiabetesPedigreeFunction is a numeric feature that represents the genetic influence of diabetes by analyzing the family history of individuals. It is a measure of the probability of diabetes based on family pedigree. 

To analyze the relationship between the DiabetesPedigreeFunction feature and the task of determining whether a person has diabetes or not, we can compare the average values of DiabetesPedigreeFunction for individuals with diabetes (yes) and those without diabetes (no). This will provide insights into whether the feature has a significant impact on the target variable.

To create the requested dictionary, we will first need to split the dataset into two subsets based on the target variable (yes and no). Then for each subset, we will calculate the average values of DiabetesPedigreeFunction and select five typical values to include in the dictionary.

Here is the dictionary containing the requested information:

```json
{
	"yes": [1.182, 0.88, 1.39, 1.624, 0.731],
	"no": [0.429, 0.304, 0.189, 0.134, 0.891]
}
```

Please note that these values are just examples and should be based on an actual analysis of the dataset.