Based on the given feature description, we can analyze the relationship between feature PAQ605 and the target variable (age group). 

If a respondent engages in moderate or vigorous-intensity sports, fitness, or recreational activities in a typical week (PAQ605 = 1), it is more likely that they are in the non-senior age group (Adult). On the other hand, if the respondent does not participate in such activities (PAQ605 = 2), it is more likely that they are in the senior age group. 

To create the dictionary, we need to identify five typical values of PAQ605 for each target class. Since the values are not specified, we will assume the range of values based on prior knowledge.

According to common ranges, typical values for PAQ605 in the 'Adult' class could be [1.0, 1.0, 1.0, 1.0, 1.0], indicating that most adults engage in weekly moderate or vigorous-intensity physical activity. 

Similarly, typical values for PAQ605 in the 'Senior' class could be [2.0, 2.0, 2.0, 2.0, 2.0], as most seniors do not participate in such activities.

With this information, let's create the dictionary:

```json
{
	"Adult": [1.0, 1.0, 1.0, 1.0, 1.0],
	"Senior": [2.0, 2.0, 2.0, 2.0, 2.0]
}
```