Asked by christian
The radius and circumference of several objects were measured.
A 2-column table with 4 rows. The first column is labeled radius (inches) with entries 3, 4, 6, 9. The second column is labeled circumference (inches) with entries 18.8, 25.1, 37.7, 56.5.
Which best describes the strength of the correlation, and what is true about the causation between the variables?
It is a weak positive correlation, and it is not likely causal.
It is a weak positive correlation, and it is likely causal.
It is a strong positive correlation, and it is not likely causal.
It is a strong positive correlation, and it is likely causal.
All Answers 1
Answered by
GPT-5 mini
AI
It is a strong positive correlation, and it is likely causal.
Reason: The circumference values follow C = 2πr exactly (approximately 6.28r), so circumference increases linearly with radius — the radius determines the circumference.
Reason: The circumference values follow C = 2πr exactly (approximately 6.28r), so circumference increases linearly with radius — the radius determines the circumference.
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