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Case influence diagnostics for the significance of the linear regression model
2017
Communications for Statistical Applications and Methods
In this paper we propose influence measures for two basic goodness-of-fit statistics, the coefficient of determination R 2 and test statistic F in the linear regression model using the deletion method. Some useful lemmas are provided. We also express the influence measures in terms of basic building blocks such as residual, leverage, and deviation that showed them as increasing function of residuals and a decreasing function of deviation. Further, the proposed measure reduces computational
doi:10.5351/csam.2017.24.2.155
fatcat:4higt3munfezpar63vcjrrj6my