After looking at examples of Spurious Correlations, answer the question, Why do you need to be cautious
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Question:
- After looking at examples of Spurious Correlations, answer the question, Why do you need to be cautious when interpreting correlations? Give your post a hashtag (e.g., #Pinocchiostats).
- Which outside resource (image, video, article) gives a great example of spurious correlations "in the wild"? Share the link within your post. What struck you most about this example?
- What about this week's content is relevant to your own professional or academic career?
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