A researcher constructs a graph that plots coffee sales and bicycle sales. The results indicate a strong negative correlation, indicating that as coffee sales increase, bicycle sales decrease. The researcher claims this is proof that increased coffee sales are causing increased bicycle sales. Which of the following statements correctly describe the researcher's claim? O A. This does not indicate a cause-and-effect relationship because correlation is not proof of causation. O B. This is not a cause-and-effect relationship because there would be a positive correlation if that were the case. O C. It does not matter if the correlation is positive or negative. What matters is that there is a strong correlation, and that is what is indicating the cause- and-effect relationship. O D. A negative correlation clearly indicates a cause-and-effect relationship where one variable's increase causes another variable's decrease