Based on prior knowledge, the feature "Glucose" is known to be closely related to the task of determining if a person has diabetes. High levels of glucose in the blood are commonly associated with diabetes.

To conduct a thorough analysis of the relationship between the "Glucose" feature and the task of determining if a person has diabetes, we can consider the following:

1. Distribution of Glucose Levels: We can examine the distribution of glucose levels for individuals with and without diabetes. This will help us understand if there are distinct ranges or patterns associated with the target classes.

2. Statistical Analysis: We can perform statistical tests to determine if there is a significant difference in mean or median glucose levels between individuals with and without diabetes. This will provide quantitative evidence of the relationship between Glucose and the target variable.

Based on the above analysis, we can now create the dictionary:

```json
{
    "yes": [180.0, 200.0, 220.0, 240.0, 260.0],
    "no": [90.0, 100.0, 110.0, 120.0, 130.0]
}
```

In this dictionary, we have included 5 typical glucose values for each target class. The Glucose values are presented as floats in the respective lists. Please note that these values are only for representation purposes and may not reflect actual data.