Homoscedasticity: an overlooked critical assumption for linear regression
Linear regression is widely used in biomedical and psychosocial research. A critical assumption that is often overlooked is homoscedasticity. Unlike normality, the other assumption on data distribution, homoscedasticity is often taken for granted when fitting linear regression models. However, contr...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2019-10-01
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| Series: | General Psychiatry |
| Online Access: | https://gpsych.bmj.com/content/32/5/e100148.full |
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