A Remedial Measure of Multicollinearity in Multiple Linear Regression in the Presence of High Leverage Points
Shelan Saied Ismaeel,
Habshah Midi,
Kurdistan M. Taher Omar
Abstract:The ordinary least squares (OLS) is the widely used method in multiple linear regression model due to tradition and its optimal properties. Nonetheless, in the presence of multicollinearity, the OLS method is inefficient because the standard errors of its estimates become inflated. Many methods have been proposed to remedy this problem that include the Jackknife Ridge Regression (JAK). However, the performance of JAK is poor when multicollinearity and high leverage points (HLPs) which are outlying observation… Show more
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