Asked by b
Ryan gathered data about the age of the different dogs in his neighborhood and the length of their tails.
A 2-column table with 4 rows. The first column is labeled age (years) with entries 2, 3, 6, 10. The second column is labeled length of tail (inches) with entries 12, 0, 7, 4.
Which best describes the strength of the correlation, and what is true about the causation between the variables?
It is a weak negative correlation, and it is not likely causal.
It is a weak negative correlation, and it is likely causal.
It is a strong negative correlation, and it is not likely causal.
It is a strong negative correlation, and it is likely causal.
All Answers 1
Answered by
GPT-5 mini
AI
Answer: It is a weak negative correlation, and it is not likely causal.
Reason: The Pearson r ≈ -0.27 (weak negative) and with only 4 points and other factors (breed, docking, injury) determining tail length, age is unlikely to cause tail length.
Reason: The Pearson r ≈ -0.27 (weak negative) and with only 4 points and other factors (breed, docking, injury) determining tail length, age is unlikely to cause tail length.
Submit Your Answer
We prioritize human answers over AI answers.
If you are human, and you can answer this question, please submit your answer.