Heteroskedasticity in Regression: Detection and Correction

By R. Kaufman. 2013

73 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7faab58e0a040cb43aab10893a0f451fbad6fc8b

How researchers see this paper

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In Statistics and Probability

1. Marcin Zajenkowski
2. Gilles E. Gignac

Citations in the corpus

• The Dunning-Kruger effect is (mostly) a statistical artefact: Valid approaches to testing the hypothesis with individual differences data (2020, background): “That is, when a bivariate linear model is estimated from the data, and a nonlinear association exists between the X and Y variables, the model solution will yield unequal residual variances across the spectrum of the X and Y variables (Kaufman, 2013).”