A researcher is interested in the relationship between cold weather and hot chocolate sales. On each day over the period of a few weeks, the researcher recorded the daily temperature and the number of hot chocolate orders at a certain coffee shop. The resulting data had a correlation coefficient of 0.87. Can the researcher conclude that cold weather causes increased hot chocolate sales? Explain.(1 point)
Responses
Yes. Since the correlation coefficient is close to 1, this is an example of causation.
Yes. Since the correlation coefficient is close to 1, this is an example of causation.
No. The researcher did not control all variables in the experiment, so the data only shows correlation.
No. The researcher did not control all variables in the experiment, so the data only shows correlation.
No. Since the correlation coefficient is les than 1, causation is impossible.
No. Since the correlation coefficient is les than 1, causation is impossible.
Yes. The researcher kept track of sales for more than one week and that proves causation.