Based on prior knowledge, chronic heart failure is more likely to occur in older individuals. Therefore, we can expect to see higher AGE values in patients with chronic heart failure compared to those without.

To analyze the relationship between AGE and the occurrence of chronic heart failure, we can compare AGE values for patients with and without chronic heart failure.

To create the dictionary, we need to find typical AGE values for each target class ('no', 'yes').

Here is the analysis and the resulting dictionary:

```json
{
	"no": [40.0, 45.0, 50.0, 55.0, 60.0],
	"yes": [60.0, 65.0, 70.0, 75.0, 80.0]
}
```

This dictionary suggests that patients without chronic heart failure tend to have AGE values in the range of 40-60, while patients with chronic heart failure tend to have higher AGE values in the range of 60-80. These values are just examples based on prior knowledge, and the actual values may vary depending on the dataset and specific characteristics of the data.