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Correlation, Regression, and Causation Discussion: Correlation, Regression, and Causation This week examines how to use correlation and simple linear regression to test the relationship of two variables. In both of these tests you can use the data points in a scatter plot to draw a line of best fit; the closer to the line the points are the stronger the association between variables. It is important to recognize, however, that even the strongest correlation cannot prove causation. To prepare for this Discussion, focus on the definitions of correlation and, how they are similar, how they are different, and for what each is used. Then, search for examples in the public health literature related to one public health issue of interest to you that illustrate the difference between correlation and regression. Post a brief summary of a public health example (from the literature). Then, compare correlation and regression using this example from public health to illustrate. Finally, respond to the statement, “Correlation is not causation,” provide an example from public health to illustrate.

Correlation, Regression, and Causation
Discussion: Correlation, Regression, and Causation
This week examines how to use correlation and simple linear regression to test the relationship of two variables. In both of these tests you can use the data points in a scatter plot to draw a line of best fit; the closer to the line the points are the stronger the association between variables. It is important to recognize, however, that even the strongest correlation cannot prove causation.
To prepare for this Discussion, focus on the definitions of correlation and, how they are similar, how they are different, and for what each is used. Then, search for examples in the public health literature related to one public health issue of interest to you that illustrate the difference between correlation and regression.
Post a brief summary of a public health example (from the literature). Then, compare correlation and regression using this example from public health to illustrate. Finally, respond to the statement, “Correlation is not causation,” provide an example from public health to illustrate.

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