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Regression vs. Correlation

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Between Certainty and Uncertainty

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 31))

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Abstract

The subject of this illustrative material following the division of Chapter 3 is presented in two major parts. First we deal with the derivation of the two (always two!) regression lines with respect to the data which we call in this book two descriptive statistics combined into a set of paired values taken from each boundary statistics.

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References

  1. Galton, F.: Regression towards mediocrity in hereditary stature. Journal of the Anthropological Institute of Great Britain and Ireland 15, 246–263 (1886)

    Article  Google Scholar 

  2. Yule, G.U.: An Introduction to the Theory of Statistics. Charles Griffin and Co., London (1911); 2-nd Edition translated into Polish by Z. Limanowski: Wstęp do Teorji Statystyki, Gebethner i Wolff, Warszawa 1921; pp. 1–446. Vi-th Edition of 1922 accessible by Internet, pp.1–415. 14-th edition, co-author M.G. Kendall, 1950 translated into Polish as Wstęp do Teorii Statystyki, PWN, Warszawa (1966)

    Google Scholar 

  3. Willerman, L., Schultz, R., Rutledge, J.N., Bigler, E.: In vivo brain size and intelligence. Intelligence 15, 223–228 (1991)

    Article  Google Scholar 

  4. Weinberg, G.H., Schumaker, J.A., Oltman, D.: Statistics – An Intuitive Approach, 4th edn., pp. 1–447. Brooks/Cole, Monterey (1981)

    Google Scholar 

  5. LaudaƄski, L.M.: Statystyka nie tylko dla Licencjatów (in Polish: Statistics not only for undergraduates), 2nd edn., vol. 1. Publishing House of the Rzeszow TU, Rzeszów (2009)

    Google Scholar 

  6. Spiegel, M.R.: Schaum’s Outline of Theory and Problems of Statistics, pp. 1–359. McGraw-Hill, New York (1972), 870 solved problems

    Google Scholar 

  7. Hubble, E.P.: A relation between distance and radial velocity among extra-galactic nebulae. Proceedings of the National Academy of Sciences 15, 168–173 (1929)

    Article  MATH  Google Scholar 

  8. von Brzeski, J.G.: Application of Lobatchevsky’s Formula on the Angle of Parallelism to Geometry of Space and to the Cosmological Redshift. Russian Journal of Mathematical Physics 14, 366–369 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  9. von Brzeski, J.G.: Expansion of the Universe – Mistake of Edwin Hubble? Cosmological Redshift and Related Electromagnetic Phenomena in Static Lobatchevskian (Hyperbolic) Universe. Acta Physica Polonica 39, 1501 (2007)

    Google Scholar 

  10. Booth, D.E.: Regression Methods and Problem Banks. COMAP, Inc. (1986)

    Google Scholar 

  11. Draper, N.R., John, J.A.: Influential Observations and Outliers in Regression. Technometrics 23, 21–26 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  12. Criqui, M.H.: University of California, San Diego, reported in the New York Times, December 28 (1994)

    Google Scholar 

  13. Pearson, K., assisted by Lee, A.: On the Laws of Inheritance on Man. Biometrica 2(4), 357–462 (1903)

    Google Scholar 

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Correspondence to Ludomir M. LaudaƄski .

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LaudaƄski, L.M. (2013). Regression vs. Correlation. In: Between Certainty and Uncertainty. Intelligent Systems Reference Library, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25697-4_12

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  • DOI: https://doi.org/10.1007/978-3-642-25697-4_12

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  • Print ISBN: 978-3-642-25696-7

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