Question

d. describe the correlation between the variables as either strong or weak and as either positive or negative. explain your reasoning.
e. clare’s boss sees the graph and tells her, “we certainly tend to bring in a lot more money when you’re working here! this graph proves you’re the cause of this increase in donations!” do you agree with clare’s boss? explain your reasoning

Explanation:

1. For part d:

A strong positive correlation means as one variable (Clare working) increases, donations increase clearly with points tightly clustered along an upward trend. A weak positive correlation means there is a slight upward trend but points are spread out. A negative correlation would mean donations fall when Clare works, and weak negative has a loose downward trend. You match the graph's point grouping and trend direction to label it properly.

1. For part e:

I do not agree with the boss. The graph only shows a correlation between Clare working and higher donations, and correlation does not equal causation. There could be other confounding variables: for example, Clare may only work during peak fundraising periods, or other promotions run at the same time she is on shift that actually drive the higher donations.

Answer:

1. Part d: (Depends on the graph, example answer) Strong positive correlation: Donations consistently rise when Clare works, with plotted points tightly following an upward trend.
2. Part e: No, I do not agree with the boss. Correlation does not prove causation.