Step-by-step explanation:
The relationship between weekly hours spent studying and weekly hours spent working can be characterized as a correlation or association, but it does not necessarily imply causation.
It is not accurate to say that studying "causes" working or vice versa, as there may be other factors that could influence both variables. For instance, a student who is naturally driven and motivated might tend to put in more effort both in their studies and in their job, leading to a positive correlation between the two variables. On the other hand, a student who is struggling academically might need to work longer hours to support themselves, resulting in a negative correlation between the two variables.
Therefore, in this scenario, it is more appropriate to characterize the problem as determining the relationship between the two variables, without assuming causation. The aim should be to establish whether there is a significant association between study and work hours and to identify any patterns or trends in the data that could help explain this relationship.