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A perfect positive or negative correlation means that

A) the explanatory causes the y-variable.
B) 100% of the variation is explained.
C) we get the same regression equation if we switch the x and y variables.
D) the slope of the regression equation is 1.0

I chose B

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  2. 👎
  3. 👁
  4. ℹ️
  5. 🚩
  1. Correlation does not necessarily mean causation. I would choose c.

    1. 👍
    2. 👎
    3. ℹ️
    4. 🚩

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