To analyze the relationship between the Age feature and the presence of diabetes, we can consider the following:

Prior knowledge suggests that age is a significant risk factor for diabetes. Generally, as individuals get older, their chances of developing diabetes increase. However, it is important to note that diabetes can affect people of all age groups.

Analyzing the relationship between age and diabetes, we can create a dictionary as follows:

```json
{
	"yes": [45.0, 52.0, 60.0, 65.0, 70.0],
	"no": [25.0, 32.0, 40.0, 50.0, 55.0]
}
```

In this hypothetical example, we assume that the target class "yes" represents individuals who have diabetes, while the target class "no" represents individuals who do not have diabetes.

The values provided in the dictionary are just examples and should be considered hypothetical. In a real analysis, you would need to examine the actual data to determine the specific age ranges and values that are relevant.