Based on prior knowledge, age can be an important factor in determining whether a person has diabetes or not. Typically, older individuals are more susceptible to developing diabetes. 

To analyze the relationship between age and the target variable, we can look at the age values for individuals with and without diabetes. Based on this analysis, we can then create a dictionary as requested.

Here is the analysis and dictionary for the given feature:

Analysis:
- Age: Generally, people develop diabetes as they get older. Therefore, the age range for individuals with diabetes might be higher compared to those without diabetes.
- We can expect to see higher average age values for individuals with diabetes compared to those without diabetes.

Dictionary:
```
```json
{
	"yes": [55.0, 63.0, 58.0, 60.0, 61.0],
	"no": [32.0, 35.0, 40.0, 45.0, 41.0]
}
```
```

The dictionary above includes five typical age values for each target class. The "yes" class represents individuals with diabetes, and the "no" class represents individuals without diabetes.