Multiple Correlation

Multiple Correlation is a statistical measure that quantifies the strength and direction of the linear relationship between a single dependent variable and a set of two or more independent variables, expressed as the correlation between the observed values of the dependent variable and the predicted values derived from a linear combination of the independent variables.

746

Publications

73.2K

Citations

1.7K

Authors

723

Institutions

Publications per year

2017–2026

109

Variants

Multiple R

Authors

1.7K

  1. JA
    James Algina

    University of Florida, United States

    8 publications · 205 citations

    8

    h-index

  2. KP
    Karl Pearson

    University College London, United Kingdom

    5 publications · 115 citations

    5

    h-index

  3. ME
    Mordecai Ezekiel

    Agricultural & Applied Economics Association, United States

    4 publications · 71 citations

    4

    h-index

  4. HJ
    H. J. Keselman

    University of Manitoba, Canada

    4 publications · 115 citations

    4

    h-index

  5. GF
    Gilney Figueira Zebende

    Universidade Estadual de Feira de Santana, Brazil

    4 publications · 147 citations

    4

    h-index

1–5 of 1.7K

Venues

  1. Educational and Psychological Measurement

    18 publications · 695 citations

    15

    h-index

  2. PubMed

    Repository · 21 publications · 804 citations

    15

    h-index

  3. Journal of the American Statistical Association

    16 publications · 10.4K citations

    13

    h-index

  4. The Annals of Mathematical Statistics

    12 publications · 1.9K citations

    11

    h-index

  5. Biometrika

    12 publications · 693 citations

    11

    h-index

1–5