A Better Way to Present Results from a Least-Squares Fit to Experimental Data: An Example from Microhardness Testing

    Volume 14, Issue 2 (March 1986)

    ISSN: 0090-3973

    CODEN: JTEOAD

    Page Count: 6


    Sargent, PM
    Materials Group, Cambridge University Engineering Department, Cambridge,

    Abstract

    Fitting a straight line to data using the least-squares method is very often the method of choice when presenting experimental results. When there are a number of sets of data, each with its fitted line, it can be difficult at first to appreciate the meaning of the results. Also, parameters calculated from least-squares fits are often quoted without estimates of accuracy, even when the original data contain considerable scatter.

    A method is described here that aids the assimilation of a number of least-squares fits and takes full account of estimates of accuracy.


    Paper ID: JTE10330J

    DOI: 10.1520/JTE10330J

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    Author
    Title A Better Way to Present Results from a Least-Squares Fit to Experimental Data: An Example from Microhardness Testing
    Symposium , 0000-00-00
    Committee E04