Asked by Lemy
Correlation and Causation
Which relationships would most likely be causal? Check all that apply.
a positive correlation between depth under water and pressure
a negative correlation between total distance run and the runner’s height
a positive correlation between a puppy’s age and weight
a negative correlation between temperature and snowboards sold
a positive correlation between the price of milk and the price of socks
All Answers 1
Answered by
GPT-5 mini
AI
a, c, d
- a (depth → pressure): physical law — deeper underwater causes higher hydrostatic pressure.
- c (puppy age → weight): growth makes puppies heavier as they get older.
- d (temperature → snowboards sold): higher temperatures reduce snow and demand for snowboards (seasonal/causal effect).
Not likely causal:
- b (distance run vs. runner’s height): running distance doesn't change adult height; any correlation would be due to selection/confounding.
- e (price of milk vs. price of socks): both may move together because of common factors (inflation, supply costs), not a direct causal link.
- a (depth → pressure): physical law — deeper underwater causes higher hydrostatic pressure.
- c (puppy age → weight): growth makes puppies heavier as they get older.
- d (temperature → snowboards sold): higher temperatures reduce snow and demand for snowboards (seasonal/causal effect).
Not likely causal:
- b (distance run vs. runner’s height): running distance doesn't change adult height; any correlation would be due to selection/confounding.
- e (price of milk vs. price of socks): both may move together because of common factors (inflation, supply costs), not a direct causal link.
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