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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
To look at the simple correlations between the explanatory variables in the model is proposed as the best way of the detection of multicollinearity.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:In this study, mullicollinearty problem is discus-sed and some detection methods for multicollinea-rity are introduced.
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Temel Bulgular & Veri:These detection methods are applied to the regression analysis which estimates Turkish agricultural product.
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Sonuç & Katkı:To look at the simple correlations between the explanatory variables in the model is proposed as the best way of the detection of multicollinearity.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:çoklu doğrusal bağıntının ülçülmesi · ekonometri
Özet
In this study, mullicollinearty problem is discus-sed and some detection methods for multicollinea-rity are introduced. These detection methods are applied to the regression analysis which estimates Turkish agricultural product. To look at the simple correlations between the explanatory variables in the model is proposed as the best way of the detection of multicollinearity.
Anahtar kelimeler
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Bu Makaleye Atıf Yap
Atalay, M. (1984). ÇOKLU DOĞRUSAL BAĞINTININ ÖLÇÜLMESİ SORUNU. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Sayı: 6, 97–106. https://ajindex.com/articles/119512