Part A:
A scatter plot would be more appropriate for showing this set of data. This is because we have two different sets of numbers – the number of items and the amount spent. A scatter plot can show how these two sets of numbers relate to each other, so we can see if there's a pattern. A line graph is better for showing changes over time, but here we’re just looking at how much people spend based on what they buy.
Part B:
The association between the number of items purchased and the total amount of money spent seems to be linear and strong. This means that as the number of items goes up, the amount they spend tends to go up, too. In simpler terms, when customers buy more stuff, they usually pay more money. So, it's a positive relationship because both numbers increase together!