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The linear correlation between an independent (x) and dependent (y) variable: A. Is the foundation for simple (bivariate) regression B. Does not indicate a causal

The linear correlation between an independent (x) and dependent (y) variable:

A. Is the foundation for simple (bivariate) regression

B. Does not indicate a causal relationship, though one might exist

C. Can be direct, inverse, or nonexistent

D. Can be used to predict the value of y for any observed value of x

E. All of the above

F. None of the above

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