Correlation Analysis

Quick Links

SPC for Excel Software

Visit our home page

SPC Training

SPC Consulting

Ordering Information

Thanks so much for reading our publication. We hope you find it informative and useful. Happy charting and may the data always support your position.


Dr. Bill McNeese
BPI Consulting, LLC

View Bill McNeese

Connect with Us

Comments (6)

  • AnonymousMay 1, 2011 Reply

    What are additional important statistical approaches which could make the basic statistical process control (SPC – covering concepts and examples and applications of 7 control charts) program become more advanced in in-depth applications?

    • billMay 3, 2011 Reply

      Not sure what you mean by more advanced in-depth applications. In terms of defining a cause and effect relationship, experimental design techniques are very valuable. These controlled experiments do usually produce the cause and effect relationship.<br />

  • AnonymousMay 3, 2011 Reply

    Thank you for the easily understood discussion of the risks in assuming causality when correlation exists. If anything I would ask you to emphasis this even more since the human tendency is so strong.

    I was a little thrown off by your sentence that "The seats were assigned at random." It increases the desire to attribute the correlation to a primary cause, and IMHO directly contradicts the provided example of a third variable.

    You are, of course faithfully reporting what is written. While this a more true statement of the study's history I find it detracts from the directness and clarity that I've always appreciated in these newsletters.

    Or was this perhaps a subtle ploy to lead us into temptation ?

    • billMay 3, 2011 Reply

      Thanks for the feedback. I thought a while about using the example of students sitting in the front of the class and the grade they make. The first study found a correlation – the second didn't. I have in the past used the good old example of the stork population increasing along with the number of babies born. Simpler example of correlation and causal relationships, but the student one was interesting to me. Thanks for reading the newsletter.

  • AnonymousMay 13, 2011 Reply

    Dear Mr.William McNeese

    Hats off to you for your contribution to the world through wonderful news letter you publish.This is written so nicely with illustations which will make any body to understnd the same.

    Thank you very much

    Corporate head-Systems &audit
    Karle group of companies

  • AnonymousJuly 13, 2011 Reply

    Very nice Statistics 101. Always good to get a refresher! Thank you.

Leave a Reply

Your email address will not be published. Required fields are marked *