Based on the task, we need to predict whether a person belongs to the 'Senior' or 'Non-Senior' age group based on the feature PAQ605. 

To analyze the relationship between the feature PAQ605 and the target variable, we can consider some assumptions based on prior knowledge:

1. 'Non-Senior' individuals are more likely to engage in moderate or vigorous-intensity sports, fitness, or recreational activities compared to 'Senior' individuals.
2. 'Senior' individuals are generally less active compared to 'Non-Senior' individuals.

Based on these assumptions, we can analyze the relationship as follows:

- 'Adult' (Non-Senior): Individuals in this age group are more likely to engage in moderate or vigorous-intensity activities. They would have a higher likelihood of having PAQ605 value as 1, indicating their active participation in physical activities.

- 'Senior': Individuals in this age group are generally less active compared to 'Adult' individuals. They would have a higher likelihood of having PAQ605 value as 2, indicating their less participation in physical activities.

Based on this analysis, the dictionary can be created as follows:

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

Please note that the dictionary values provided here are only example values based on the assumptions made. In a real-world scenario, you would need actual data to determine the appropriate ranges of values for PAQ605 that correspond to each age group.