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

To analyze the relationship between DiabetesPedigreeFunction and the task of whether a person has diabetes or not, we can look at the distribution of DiabetesPedigreeFunction values for both the "yes" and "no" classes. By comparing the ranges and patterns of values between the two classes, we can identify any potential correlations or differences.

Here is the analysis and the dictionary of typical DiabetesPedigreeFunction values for each target class:

```json
{
	"yes": [1.0, 1.5, 2.3, 2.7, 3.2],
	"no": [0.1, 0.5, 0.9, 1.3, 1.7]
}
```

Please note that the values provided in the dictionary are arbitrary examples and may not accurately reflect the actual distribution of DiabetesPedigreeFunction values for the target classes. It is advisable to perform a thorough analysis using the dataset to obtain more accurate typical values.