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Reading research critically: results--bivariate regression analysis

M Giuffre

    Journal of Post Anesthesia Nursing
    |December 1, 1995
    PubMed
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    Bivariate regression analysis is a straightforward extension of correlational analysis. This guide demystifies regression terminology, making it accessible for researchers.

    Area of Science:

    • Statistics
    • Biostatistics
    • Quantitative Research Methods

    Background:

    • Regression analysis is a common tool in scientific research.
    • The terminology associated with regression can be complex for many readers.
    • Understanding regression is crucial for interpreting research findings.

    Purpose of the Study:

    • To clarify the concepts of bivariate regression analysis.
    • To explain bivariate regression as an extension of correlational analysis.
    • To make regression analysis more accessible to researchers.

    Main Methods:

    • This article provides a conceptual explanation of bivariate regression.
    • It focuses on the relationship between bivariate regression and correlation.
    • No new data were analyzed; it is a review and explanation.

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    Main Results:

    • Bivariate regression analysis is presented as a logical progression from correlational analysis.
    • Key terminology is explained in an accessible manner.
    • The fundamental principles of bivariate regression are clarified.

    Conclusions:

    • Bivariate regression analysis is an understandable statistical technique.
    • Researchers can gain confidence in interpreting and applying regression.
    • This explanation aims to reduce the intimidation factor of regression analysis.