IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-16-0193-4_9.html
   My bibliography  Save this book chapter

Regression

In: Data Analysis with SPSS for Survey-based Research

Author

Listed:
  • Saiyidi Mat Roni

    (Edith Cowan University, School of Business and Law)

  • Hadrian Geri Djajadikerta

    (Edith Cowan University, School of Business and Law)

Abstract

When you put in a super premium petrol RON 98 for your car, you anticipate you will reach your destination faster and perhaps going further. You can use a regression analysis to check if this is case. You can also use the regression to check how strong the fuel type influences your travel time relative to other factors. This is because the journey is also affected by road and traffic conditions as well as your driving style. In this chapter, we walk you through a simple regression and make our way up to more sophisticated hierarchical multiple regression that you can use to investigate an influence of additional variables after controlling for other variables. It is like looking at the effect of the fuel type in your car on the distance travelled after controlling for the traffic and road conditions. We also include a quantile regression which is very handy if you need to look at the effects of predictors at different sections (i.e., quartile) of your sample. It is like looking at the distance travelled in a single tank but at different driving speed.

Suggested Citation

  • Saiyidi Mat Roni & Hadrian Geri Djajadikerta, 2021. "Regression," Springer Books, in: Data Analysis with SPSS for Survey-based Research, chapter 0, pages 161-217, Springer.
    • Handle: RePEc:spr:sprchp:978-981-16-0193-4_9
    DOI: 10.1007/978-981-16-0193-4_9
    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:978-981-16-0193-4_9. 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.