IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-10-0401-8_12.html
   My bibliography  Save this book chapter

Multiple Regression

In: Applied Statistics for Social and Management Sciences

Author

Listed:
  • Abdul Quader Miah

    (Asian Institute of Technology)

Abstract

A multiple regression model deals with one dependent variable and two or more independent variables. A very important feature of a multiple regression model is interpretation. It is demonstrated and explained here how to use a categorical variable in a regression model by use of dummy variables. A useful feature of a regression model is prediction/forecasting. It is demonstrated through examples. The technique of how to transform nonlinear relationships into linear relationships is also explained, thus making it suitable for use of the basic concept of linear regression models in such cases.

Suggested Citation

  • Abdul Quader Miah, 2016. "Multiple Regression," Springer Books, in: Applied Statistics for Social and Management Sciences, edition 1, chapter 0, pages 233-244, Springer.
    • Handle: RePEc:spr:sprchp:978-981-10-0401-8_12
    DOI: 10.1007/978-981-10-0401-8_12
    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

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:978-981-10-0401-8_12. 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.