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homoscedasticity

homoscedasticity Homoscedasticity is the assumption in linear regression that the spread of errors or variability around the regression line stays about the same at all values of the predictor variable.

Homoscedasticity is the assumption in linear regression that the spread of errors or variability around the regression line stays about the same at all values of the predictor variable.

Sources

Drafting source: Online Statistics Education, version 2 (David M. Lane, project leader). Version 2; publisher statement snapshot 2026-10-18; SHA-256 0dcad9ee85f61f9e2bb24d26279de155ac749164ea4da2a3bffeabcf9ea471a6. “Homoscedasticity” (homoscedasticity.html).
public-domain-US · Definition uses new wording; original source retains its stated licence. · Source snapshot SHA-256: f2d03fcee9afcd2be9082dedd7bbe07919c443e442cf40de10abf278ad48bb20

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PsychTerms (psychterms.org), CC BY 4.0, version 1. “homoscedasticity.” Development preview.

Version 1 · SHA-256: 2fde2bb7c32ac7d36cfec7f7b758ceb460163861ce5325d76f037012bb390fb2

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homoscedasticity

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Sources

Cite this entry