Chapter 12. Correlation, Linear Regression, and Logistic Regression

  1. Michael R. Chernick1,
  2. Robert H. Friis2

Published Online: 11 APR 2003

DOI: 10.1002/0471458716.ch12

Book Title

Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap

Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap

Additional Information

How to Cite

Chernick, M. R. and Friis, R. H. (2003) Correlation, Linear Regression, and Logistic Regression, in Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471458716.ch12

Author Information

  1. 1

    Novo Nordisk Pharmaceuticals, Inc., Princeton, New Jersey, USA

  2. 2

    California State University, Long Beach, California, USA

Publication History

  1. Published Online: 11 APR 2003
  2. Published Print: 21 FEB 2003

ISBN Information

Print ISBN: 9780471411376

Online ISBN: 9780471458715

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Keywords:

  • correlation;
  • regression;
  • scatter diagram;
  • Pearson product moment correlation;
  • correlation matrix;
  • slope;
  • intercept;
  • regression line;
  • multiple regression;
  • logistic regression

Summary

  • Assessing the association between two variables that represent either interval…

  • Examples of several types of relationships between two variables

  • The Pearson correlation coefficient (ρ) is a population parameter that measures…

  • Regression analysis is very closely related to linear correlation analysis.

  • A scatter diagram is used to portray the relationship between two variables.

  • The formulae for a Pearson sample product moment correlation coefficient

  • The test for the significance of a correlation coefficient is based on a t test.

  • Regression analysis and least squares inference regarding the slope and intercept…

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