Based on prior knowledge, I will assume that the age feature is a numeric variable. To analyze the relationship between age and the target variable "Does this client subscribe to a term deposit?", I will compare the distribution of age values for clients who subscribed to a term deposit (yes) and those who did not (no). 

Here is the dictionary with the appropriate ranges of age values for each target class:

```json
{
	"no": [24.0, 35.0, 42.0, 55.0, 67.0],
	"yes": [32.0, 41.0, 47.0, 58.0, 70.0]
}
```

Please note that these are example age values and should be adjusted according to the specific dataset and analysis.