Points of Significance: Simple linear regression

Naomi Altman; Martin Krzywinski

doi:10.1038/nmeth.3627

Points of Significance: Simple linear regression

Naomi Altman, Martin Krzywinski

Statistics

Research output: Contribution to journal › Article › peer-review

86 Scopus citations

Abstract

The statistician knows...that in nature there never was a normal distribution, there never was a straight line, yet with normal and linear assumptions, known to be false, he can often derive results which match, to a useful approximation, those found in the real world.

Original language	English (US)
Pages (from-to)	999-1000
Number of pages	2
Journal	Nature methods
Volume	12
Issue number	11
DOIs	https://doi.org/10.1038/nmeth.3627
State	Published - Nov 1 2015

All Science Journal Classification (ASJC) codes

Biotechnology
Biochemistry
Molecular Biology
Cell Biology

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10.1038/nmeth.3627

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title = "Points of Significance: Simple linear regression",

abstract = "The statistician knows...that in nature there never was a normal distribution, there never was a straight line, yet with normal and linear assumptions, known to be false, he can often derive results which match, to a useful approximation, those found in the real world.",

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Points of Significance: Simple linear regression

Abstract

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