The mystery of the mismatched socks

Quality of a linear regression model.

Authors

  • Manuel Molina Gastroenterology Service Hospital Infantil Universitario La Paz, Madrid.

DOI:

https://doi.org/10.30445/rear.v16i2.1240

Keywords:

multiple lineal regression, regression coefficients, residuals, coefficient of determination

Abstract

The parameters that report on the quality of a multiple linear regression model and that are usually provided by the statistical programs with which they are carried out are reviewed. Emphasis is placed on the goodness of fit, the predictive capacity and the statistical significance of the model.

Author Biography

Manuel Molina, Gastroenterology Service Hospital Infantil Universitario La Paz, Madrid.

Specialist in Pediatrics and its Specific areas since 1991. I currently work in the Gastroenterology Service of the La Paz University Children's Hospital, in Madrid.
In addition, I belong to the Evidence-Based Pediatrics Working Group, a group shared between the Spanish Association of Pediatrics and the Spanish Association of Primary Care Pediatrics.

References

- Linear and logistic regression. En: Zumel N, Mount J, eds. Practical Data Science with R, 2ª ed. Manning Publications Co. Shelter Island, NY, 2020;215-73.

- Regression. En: Crawley MJ, ed. The R book, 2ª ed. John Wiley & Sons Ltd. Chichester, UK, 2013;449-97.

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Published

2024-03-04

How to Cite

Molina, M. (2024). The mystery of the mismatched socks: Quality of a linear regression model. Revista Electrónica AnestesiaR, 16(2). https://doi.org/10.30445/rear.v16i2.1240

Issue

Vol. 16 No. 2 (2024): Revista Electrónica de AnestesiaR

Section

Original

License

Copyright (c) 2024 Revista Electrónica AnestesiaR

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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