Article

Quantifying Heteroscedasticity in Linear Models Using Quantile LOWESS Intervals

2025-12-09

Abstract excerpt

<p>Ordinary Least Squares (OLS) estimation, which is frequently applied in psychology, assumes constant variance of errors across predictor levels. This assumption is known as homoscedasticity, while its violation is referred to as heteroscedasticity. In categorical predictors, heteroscedasticity can be quantified by calculating the ratio of variances across groups. For continuous predictors, diagnostic residual p...

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Literature Corpus work: 24075063-63b5-5fcc-9930-d3fe8bb1f05e
DOI: 10.31234/osf.io/gn4mr_v2

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