A strong correlation between the variables a and b does not guarantee "a must cause b", so option B. False is the correct choice.
What do we mean by Correlation?
Correlation is a relationship between variables that determine how the value of one variable affects the other variable.
How do we solve the given question?
We are said that a and b are highly correlated, that is, a change in the value of a will affect the value of b. But are not informed about the way their correlation is, that is, whether they are positively correlated or negatively correlated. A positive correlation would imply that increase in a results in an increase in b. But negative correlation is vice-versa.
So we can't be sure that a causes b, that is the statement "a must cause b" is taken as B. False.
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