Details:

Alternative Title:
Am J Clin Nutr
Personal Author:
Barker, Lawrence E ; Shaw, Kate M
Barker, Lawrence E ; Shaw, Kate M Less -
Description:
The residuals of a least squares regression model are defined as the observations minus the modeled values. For least squares regression to produce valid CIs and P values, the residuals must be independent, be normally distributed, and have a constant variance. If these assumptions are not satisfied, estimates can be biased and power can be reduced. However, there are ways to assess these assumptions and steps one can take if the assumptions are violated. Here, we discuss both assessment and appropriate responses to violation of assumptions.
Subject:
[+]
Analysis Of Variance
Article
Assumptions
Least-Squares Analysis
Linear Models
Models, Theoretical
Normality
Regression
Residuals
Statistics
Statistics As Topic
Variance

Source:
Am J Clin Nutr. 102(3):533-539.
Pubmed ID:
26201816
Pubmed Central ID:
PMC4558311
Document Type:
Journal Article
Funding:
CC999999/Intramural CDC HHS/United States
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:38f5fc8c78e0d38d36b0c1b8581046e04bfc60181151ff0deea9aa1c1ae4cfa8
File Type:

Supporting Files

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