99 POINTS! PLZ HELP!!
Lisa is not sure if m causes n, n causes m, or neither. In an attempt to come to a conclusion, she first plotted m on the x-axis, n on the y-axis, and used the linear regression feature of her graphing calculator. When she did this, she got a correlation coefficient (r) of 0.962 and a line with a slope of 2.3. She then plotted n on the x-axis, m on the y-axis, and used the linear regression feature of her graphing calculator. When she did this, she got a correlation coefficient (r) of 0.962 and a line with a slope of 0.4. Which conclusion is the most valid?

A) m causes n.
B) n causes m.
C) m might cause n, or n might cause m.
D) m doesn’t cause n, and n doesn’t cause m.

The slope of the line produced by Lisa’s graphing calculator has nothing to do with whether m causes n, n causes m, or neither (One exception to this would be if the slope were 0. This would imply no correlation, and thus, no causation.) Since the correlation coefficient (r) is 0.962 in both cases, a correlation probably exists between m and n. However, correlation does not imply causation, nor does it imply a lack of causation. Therefore, the conclusion of Lisa’s that is the most valid is m might cause n, or n might cause m.

madisontetteh2006 madisontetteh2006 · Answer 2 · 2020-05-08T22:34:29+02:00

madisontetteh2006 madisontetteh2006

08-05-2020

Answer:

If you are on usatestprep, the answer is C.m might cause n, or n might cause m.

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