IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-13-3429-0_7.html
   My bibliography  Save this book chapter

Correlation and Regression Techniques

In: Statistics and Research Methods in Psychology with Excel

Author

Listed:
  • J. P. Verma

    (Lakshmibai National Institute of Physical Education, Department of Sport Psychology)

Abstract

Correlation measures linear relationship between any two variables. Although correlation does not authentically explain cause-and-effect relationship, it forms the basis of the regression analysis. In order to find the real relationship, the effect of other variables needs to be controlled and this can be done by using partial correlation. In this chapter, correlation and partial correlation have been discussed along with their application by means of solved examples. To know the relationship between the dependent variable and a group of independent variables, multiple correlation is used. It indicates how accurately dependent variable can be estimated on the basis of the independent variables. The multiple correlation along with its characteristics such as concept of suppression variable and law of diminishing returns has been thoroughly explained in this chapter by means of examples. Finally, least squares method of regression analysis has been shown with the help of a solved example.

Suggested Citation

  • J. P. Verma, 2019. "Correlation and Regression Techniques," Springer Books, in: Statistics and Research Methods in Psychology with Excel, chapter 0, pages 237-289, Springer.
    • Handle: RePEc:spr:sprchp:978-981-13-3429-0_7
    DOI: 10.1007/978-981-13-3429-0_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-981-13-3429-0_7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.