Based on prior knowledge, glucose levels can be used as an indicator of diabetes. Individuals with high glucose levels are more likely to have diabetes.

To create the dictionary, I will examine the relationship between the feature (Glucose) and the target variable (diabetes status) by analyzing the glucose values for both the "yes" and "no" classes.

Example dictionary:

```json
{
	"yes": [180.0, 160.0, 200.0, 190.0, 175.0],
	"no": [90.0, 100.0, 95.0, 110.0, 120.0]
}
```

Please note that these values are examples and should not be considered as definitive. A more thorough analysis with a larger dataset would be required to generate accurate and reliable values.