Each of these relationships reflects a correlation. Which relationship most likely reflects correlation but not causation?Choices:(A) For a pilot, having more passengers is associated with crossing more time zones.(B) For a traveler, going on a longer trip is associated with taking more luggage.(C) For a flight attendant, spending more time on airplanes is associated with wearing a uniform more often.
Q. Each of these relationships reflects a correlation. Which relationship most likely reflects correlation but not causation?Choices:(A) For a pilot, having more passengers is associated with crossing more time zones.(B) For a traveler, going on a longer trip is associated with taking more luggage.(C) For a flight attendant, spending more time on airplanes is associated with wearing a uniform more often.
Analyze Relationship: Analyze the relationship of option (A): Does having more passengers cause a pilot to cross more time zones? The answer is No, as crossing time zones is determined by the flight route, not the number of passengers. However, flights that cross more time zones may tend to be larger and thus have more passengers, indicating a correlation but not causation.
Analyze Relationship: Analyze the relationship of option (B): Does going on a longer trip cause a traveler to take more luggage? While it seems intuitive that longer trips might require more luggage, the amount of luggage a traveler takes is a personal choice and can vary widely regardless of trip length. However, there is likely a correlation between the two, as on average, longer trips could necessitate more items.
Analyze Relationship: Analyze the relationship of option (C): Does spending more time on airplanes cause a flight attendant to wear a uniform more often? The answer is Yes, as wearing a uniform is a requirement for flight attendants when working on airplanes. This indicates both correlation and causation.
Select Best Option: Finally, select the option that most likely reflects correlation but not causation. Options (A) and (B) both show correlation without clear causation, but option (A) is less likely to be influenced by personal choice and therefore is a better example of correlation without causation.