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# Explain why correlation does not signify causality

1) For this discussion, briefly describe some of the requirements of this analysis and indicate whether or not the Pearson correlation is appropriate for all types of data.

2) In addition, be sure to address what a positive or negative correlation indicates.

3) Finally, explain why a strong correlation does not signify causality.

#### Solution Preview

1) For this discussion, briefly describe some of the requirements of this analysis and indicate whether or not the Pearson correlation is appropriate for all types of data.

Pearson correlation is not appropriate for all types of data. There are two requirements. First, the variables must have a linear relationship. This is often "checked" with a graph to see if the data fall in a pattern that is a line (close to a line). Second, it must be able to analyze two variables that are quantitative (numerical amounts).

2) In addition, be sure to address what a positive or negative ...

#### Solution Summary

Your tutorial is 332 words plus three references, one tutoring and two scholarly for additional reading on this topic.

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