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2 1 -2317 MAKE-UP should not infer causality from correlational research designs because X may cause Y, Y may cause X, or a third variable may cause both X and Y. A true Consider this hypothesis: There is a significant diffu participating in the CRR B false 

          2
1
-2317
MAKE-UP
should not infer causality from correlational research designs because X may cause Y, Y may cause X, or a
third variable may cause both X and Y.
A
true
Consider this hypothesis: There is a significant diffu
participating in the CRR
B
false
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2 1 -2317 MAKE-UP should not infer causality from correlational research designs because X may cause Y, Y may cause X, or a third variable may cause both X and Y. A true Consider this hypothesis: There is a significant diffu participating in the CRR B false

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Principles of Economics
Principles of Economics
Gregory Mankiw 8th Edition
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Third variable may cause both X and Y. Make-up error causality from correlational research designs because X may cause Y, Y may cause X, or a third variable may cause both X and Y. Consider this hypothesis: There is a participant error. True or false?
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Transcript

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00:01 Here we have the statement, two variables can only have a statistical relationship if there is a cause and effect factor between them.
00:10 And the answer is false.
00:13 And this points to the classic wisdom which says that correlation does not mean causation.
00:21 So two variables can be correlated, but it does not mean that one is causing the other.
00:27 For example, the number of people skiing and the number of people shoveling their driveway.
00:32 So let's say the x -axis is the number of people shoveling their driveway, and the y -axis is the number of people skiing...
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