In simple linear regression: A The existence of a surrogate variable can explain why two variables have an association without having a causal relationship. B A simple linear regression analysis can prove that there is a causal relationship between two variables. C Both of the above. D Neither of the above.

Step-by-step explanation:

In statistics, a simple linear regression is a method to obtain a formula that helps to predict the values of one variable from another, where there exists a causal behavior. Specifically, through this method, we can say if there's a relation at all, if the correlation is positive or negative, if it's strong or weak.

Therefore, the right answer is B.

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step-by-step explanation:

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