Adjusted R-squared

Adjusted R-Squared is a modified measure of determination that adjusts the ordinary R-squared statistic by accounting for the number of predictors in a regression model to penalize the inclusion of irrelevant variables.

124

Publications

12.5K

Citations

334

Authors

157

Institutions

Publications per year

2017–2026

41

Variants

Adjusted R2

Authors

334

  1. MM
    Martina Mittlböck

    Medical University of Vienna, Austria

    6 publications · 482 citations

    6

    h-index

  2. JD
    Jason D. Rights

    Vanderbilt University, United States

    4 publications · 148 citations

    4

    h-index

  3. KO
    Kazuhiro Ohtani

    Kobe University, Japan

    3 publications · 171 citations

    3

    h-index

  4. DB
    David B. Montgomery

    Stanford University, United States

    3 publications · 97 citations

    3

    h-index

  5. SK
    Sonya K. Sterba

    Vanderbilt University, United States

    3 publications · 79 citations

    3

    h-index

1–5 of 334

Venues

  1. Technometrics

    4 publications · 373 citations

    4

    h-index

  2. Journal of Marketing Research

    3 publications · 81 citations

    3

    h-index

  3. 2

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5