Chapter 10. Correlation and Regression

  1. Robert C. Elston1 and
  2. William D. Johnson2

Published Online: 31 OCT 2008

DOI: 10.1002/9780470740781.ch10

Basic Biostatistics for Geneticists and Epidemiologists: A Practical Approach

Basic Biostatistics for Geneticists and Epidemiologists: A Practical Approach

How to Cite

Elston, R. C. and Johnson, W. D. (2008) Correlation and Regression, in Basic Biostatistics for Geneticists and Epidemiologists: A Practical Approach, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470740781.ch10

Author Information

  1. 1

    Department of Epidemiology and Biostatistics, Case Western Reserve University, USA

  2. 2

    Pennington Biomedical Research Center, Louisiana State University System, USA

Publication History

  1. Published Online: 31 OCT 2008
  2. Published Print: 24 OCT 2007

ISBN Information

Print ISBN: 9780470024898

Online ISBN: 9780470740781

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Keywords:

  • linear regression: slope, intercept, residual, error sum of squares or, residual sum of squares, sum of squares due to regression, mean squares, error mean squares, regression (coefficient) of x on y;
  • least square;
  • homoscedasticity, heteroscedasticity;
  • linear relationship, covariance, product-moment correlation, rank correlation;
  • multiple regression, stepwise regression, regression diagnostics, multiple correlation coefficient, partial correlation coefficient;
  • regression toward the mean

Summary

This chapter contains sections titled:

  • Simple Linear Regression

  • The Straight-Line Relationship When There is Inherent Variability

  • Correlation

  • Spearman's Rank Correlation

  • Multiple Regression

  • Multiple Correlation and Partial Correlation

  • Regression toward the Mean

  • Summary

  • Further Reading

  • Problems