IDEAS home Printed from https://ideas.repec.org/a/tec/techni/ojs11843.html

Quality Assessment of Electrical Equipment using ANOVA and Linear Regression Techniques

Author

Listed:
  • Catalin Silviu Nutu

    (Constanta Maritime University, Mircea cel Batran Bd. 104, Constanta, Romania)

Abstract

The article concerns utilization of linear regression and analysis of variance (ANOVA) for a set of data regarding the quality of electrical equipment. More precisely, this set of data concerns the nonconformant housings of electric motors for different diameters of housings. Both statistical methods, linear regression and ANOVA are employed to analyse this data with regard to their linear dependency and to check whether this data is likely to come from groups with the same mean.

Suggested Citation

  • Catalin Silviu Nutu, 2024. "Quality Assessment of Electrical Equipment using ANOVA and Linear Regression Techniques," Technium, Technium Science, vol. 24, pages 88-92, October.
    • Handle: RePEc:tec:techni:ojs:11843
    DOI: 10.47577/technium.v24i.11843
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/technium/article/view/11843
    Download Restriction: no
    File URL: https://libkey.io/10.47577/technium.v24i.11843?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:tec:techni:ojs:11843. 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: Ana Maria Golita (email available below). General contact details of provider: .

    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.