Based on prior knowledge, the relationship between the feature "Glucose" and the task of determining whether a person has diabetes or not can be analyzed as follows:

1. Typically, a normal range for fasting plasma glucose levels is considered to be less than 100 mg/dl. Therefore, for the "no" class (non-diabetic), we can assume that the majority of glucose values will be below this threshold.

2. On the other hand, for the "yes" class (diabetic), glucose levels are expected to be higher than the normal range. Therefore, we can assume that the majority of glucose values for the "yes" class will be equal to or above 100 mg/dl.

Based on this analysis, let's create the dictionary:

```json
{
	"yes": [190.0, 180.0, 160.0, 200.0, 175.0],  
	"no": [80.0, 90.0, 70.0, 95.0, 85.0]
}
```

Note that these values are just examples and may not accurately represent the distribution of glucose values for each class. It is advisable to use a dataset or consult medical professionals to obtain more accurate information on the relationship between glucose levels and diabetes.