Based on my prior knowledge, the relationship between age and chronic heart failure can be analyzed as follows:

The risk of developing chronic heart failure generally increases with age. Older age is a known risk factor for heart failure, as the heart tends to become less efficient and more prone to damage as it ages. Therefore, it is reasonable to expect that the feature AGE will have a positive relationship with the presence of chronic heart failure.

Based on this analysis, I will create a dictionary with a list of typical age values for each target class ('no' and 'yes'):

```json
{
	"no": [45.0, 52.5, 58.0, 63.2, 67.9],
	"yes": [65.0, 69.8, 73.5, 78.0, 82.1]
}
```

Note: The provided age values are just examples and may not be precise. The precise values will depend on the specific dataset and its characteristics.