  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.
