Question

# Which of the following is an example of the hidden third variable problem? Jeff conducts a...

1. Which of the following is an example of the hidden third variable problem?
1. Jeff conducts a correlation analysis to determine if there is a relationship between age and number of times a person has traveled outside of the country. He finds no correlation between the two variables.
2. Justin conducts a correlation analysis to see if there is a relationship between % of surface body hair and risk of having a stroke in males. He finds a strong, positive correlation. However, he neglected to measure testosterone levels, which can influence both body hair and risk of stroke.
3. Caitlin conducts a correlation analysis to see if there is a relationship between the age someone begins learning Spanish and their score on a Spanish competency test. She finds a strong, negative correlation and does not try to make causal inferences.
4. Alaina conducts a correlation analysis to see if there is a relationship between how many years someone owns a cat and a person’s age at death. She finds a strong, positive correlation. However, she does not know if owning a large number of cats increased life expectancy or if life expectancy increased the number of cats a person owned.
1. Please explain why you chose your answer above (i.e., why are the other options not correct):_________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

Justin conducts a correlation analysis to see if there is a relationship between % of surface body hair and risk of having a stroke in males. He finds a strong, positive correlation. However, he neglected to measure testosterone levels, which can influence both body hair and risk of stroke.

• BECAUSE REMAINING CORRELATIONS ARE NOT HIDING ANY THIRD VARIEBLE CONFOUNDING THE EFFECTS
• No lurking/confounding variable here either.

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