Based on my prior knowledge, chronic heart failure is more prevalent in older individuals. Therefore, for the feature "AGE", it is likely that higher values of age will be associated with a higher likelihood of chronic heart failure.

To analyze the relationship between the feature "AGE" and the target variable "chronic heart failure", we need access to the myocardial infarction complications data of the patient. This data should include information about whether the patient has chronic heart failure along with their age.

Unfortunately, without the actual data, it is not possible to provide specific values for the age ranges associated with chronic heart failure. However, I can still provide a general analysis and create a dictionary based on my knowledge.

```json
{
	"no": [45.5, 51.2, 47.8, 49.6, 42.3], 
	"yes": [67.9, 71.2, 69.8, 68.5, 74.1]
}
```
Keep in mind that these are just hypothetical age values and should not be considered as actual data.