Resolving the Lord's Paradox
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2018-04-24 v1
Abstract
An explanation to Lord's paradox using ordinary least square regression models is given. It is not a paradox at all, if the regression parameters are interpreted as predictive or as causal with stricter conditions and be aware of laws of averages. We use derivation of a super-model from a given sub-model, when its residuals can be modelled with other potential predictors as a solution.
Cite
@article{arxiv.1804.07923,
title = {Resolving the Lord's Paradox},
author = {Priyantha Wijayatunga},
journal= {arXiv preprint arXiv:1804.07923},
year = {2018}
}
Comments
4 pages, The 32nd International Workshop on Statistical Modelling (IWSM), Johann Bernoulli Institute, Rijksuniversiteit Groningen, Netherlands, 3-7 July 2017