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Discussion on relationship between causation and correlation

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Describe the error in the conclusion:

There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conclusion: Cigarettes cause the pulse rate to increase.

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The error is here: correlation does not apply causation. In other words, if there are relationships between two variables, then it does ...

Solution Summary

The soluton discusses an error in a study's conclusion drawn from correlation. Just under 100 words.

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Discussion on Causation, Correlation and Regression

I need some help in conceptualizing basic statistic concepts:
(1)Briefly defines correlation and regression.
(2) Compares (similarities) and contrasts (differences) regression and correlation. This is far different than the definitions required in (1) above. While definitions are important, they do not describe the similarities and differences. You, as the author, have to specifically identify and thoroughly describe these similarities and differences. Since the comparison and contrast account for the majority of the grade on this assignment, the bulk of your answer should rely on a very thorough discussion of the similarities (comparison) and differences (contrasts) between regression and correlation.
(3) Explains, in detail. the nature of causation and correlation (and regression). What elements must be proven before a causal relationship can be established?

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