Question

Which of the following statements is FALSE?
a.) A correlation coefficient of 1 could mean that the relationship is just a coincidence,
b.) A high correlation between the explanatory and response variables is sufficient to prove causation
c.) A correlation between -1 and 1 establishes a relationship, but not necessarily a causation
d.) A controlled experiment can give the best evidence for causation

Answer 1

The statement which is false is; Choice A; A correlation coefficient of 1 could mean that the relationship is just a coincidence.

Correlation and Causation

Correlation analysis is a statistical measure of how two variables are related. The correlation coefficient (r) is a statistic parameter that tells one the strength and direction of that relationship.

• On this note, when r = 0 means there is no correlation. r = 1 means there is perfect positive correlation. r = -1 means there is a perfect negative correlation

• Causation, otherwise termed "cause and effect" indicates that one event is the result of the occurrence of another event.

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