High correlation implies causation

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What's wrong? Each of the following statements contains an error. Describe each error and explain why the statement is wrong.

(a) High correlation implies causation.

(b) An outlier will always have a small residual.

(c) If we have data at values of x equal to 1, 2, 3, 4, and 5, and we try to predict the value of y using a least-squares regression line, we are doing an extrapolation.

Reference no: EM131744755

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