The SSR plot: A graphical representation for regression

Chong Sun Hong, Jong Min Kim

    Research output: Contribution to journalArticlepeer-review

    Abstract

    An alternative graphical method, called the SSR plot, is proposed for use with a multiple regression model. The new method uses the fact that the sum of squares for regression (SSR) of two explanatory variables can be partitioned into the SSR of one variable and the increment in SSR due to the addition of the second variable. The SSR plot represents each explanatory variable as a vector in a half circle. Our proposed SSR plot explains that the explanatory variables corresponding to the vectors located closer to the horizontal axis have stronger effects on the response variable. Furthermore, for a regression model with two explanatory variables, the magnitude of the angle between two vectors can be used to identify suppression.

    Original languageEnglish (US)
    Pages (from-to)726-735
    Number of pages10
    JournalCommunications in Statistics: Simulation and Computation
    Volume39
    Issue number4
    DOIs
    StatePublished - Apr 1 2010

    Keywords

    • Coefficient of determination
    • Correlation
    • Geometry
    • SSR
    • Suppression

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