Based on prior knowledge, we can analyze the relationship between age and the presence of diabetes as follows:

1. Younger age: It is less common for people in their early 20s or younger to have diabetes. Therefore, we can expect that the majority of people in this age range would have the target class "no".

2. Middle age: The risk of developing diabetes tends to increase as individuals grow older. Therefore, we can expect that the proportion of people with diabetes will gradually increase as age increases. In this age range, we would expect a mix of both "yes" and "no" classes.

3. Older age: It is more common for elderly individuals to develop diabetes. Thus, we can expect that a significant proportion of individuals in this age range would have the target class "yes".

Based on this analysis, we can create the following dictionary:

```json
{
	"yes": [60.5, 68.3, 65.1, 72.2, 75.6],  
	"no": [21.8, 25.9, 32.4, 35.2, 37.6]
}
```

In this dictionary, we have included 5 typical age values for each target class. For the "yes" class, the ages range from 60.5 to 75.6, representing older individuals. For the "no" class, the ages range from 21.8 to 37.6, representing younger individuals. Keep in mind that these values are only hypothetical and are provided as an example to demonstrate the format of the dictionary.