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Janie is a physical therapist who is conducting research to determine the relationship between hours of standing per day and the severity of lower back pain in factory workers. After analyzing the data, the therapist finds a positive, strong correlation (r = 0.85) between the two variables. What does this correlation coefficient indicate?
A) An 85% chance that standing longer hours directly causes increased back pain severity.
B) A strong relationship between hours of standing and back pain severity, but not necessarily a cause-and-effect relationship.
C) A negative relationship between hours of standing and back pain severity.
D) An insignificant relationship between the two variables.
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By Kyle Rice4.9
622622 ratings
Janie is a physical therapist who is conducting research to determine the relationship between hours of standing per day and the severity of lower back pain in factory workers. After analyzing the data, the therapist finds a positive, strong correlation (r = 0.85) between the two variables. What does this correlation coefficient indicate?
A) An 85% chance that standing longer hours directly causes increased back pain severity.
B) A strong relationship between hours of standing and back pain severity, but not necessarily a cause-and-effect relationship.
C) A negative relationship between hours of standing and back pain severity.
D) An insignificant relationship between the two variables.
LINKS MENTIONED:

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