Regression Interpretation
Regression Interpretation is a statistical method that identifies and quantifies the relationship between a dependent variable and one or more independent variables by estimating the magnitude, direction, and significance of predictive effects within a regression model.
42
Publications
3.5K
Citations
68
Authors
50
Institutions
Publications per year
2017–2026
8
Parents
42
Functional linear regression that’s interpretable
Gareth James, Jing Wang, Ji Zhu · The Annals of Statistics · 2009 · 250 citations · Full text
Business, Economics, Econometrics +15
1–5 of 42
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Icahn School of Medicine at Mount Sinai, United States
2 publications · 72 citations
2
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2
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2
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1–5 of 68
50
University of Michigan
Ann Arbor, United States
2 h-index
6 publications
1.2K citations
University of Bern
Bern, Switzerland
2 h-index
2 publications
64 citations
Utrecht University
Utrecht, The Netherlands
1 h-index
3 publications
165 citations

University of St Andrews
St Andrews, United Kingdom
1 h-index
2 publications
248 citations
Florida State University
Tallahassee, United States
1 h-index
1 publications
62 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
2 publications
32 citations
Universitat de Barcelona
Barcelona, Spain
1 h-index
1 publications
24 citations
Bowling Green State University
Bowling Green, United States
1 h-index
1 publications
62 citations
1–8 of 50
6 publications · 418 citations
6
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SMR · 3 publications · 110 citations
3
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2 publications · 40 citations
2
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2 publications · 33 citations
2
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1 publications · 253 citations
1
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1–5