قيم شابلي كطريقة لحل إشكالية حساب معامل التحديد الجزئي في نموذج الانحدار المتعدد : دراسة حالة مصانع فريكو للأجبان الهولندية

Abstract EN

This study aimed at explaining how to use Shapley Values in calculating the partial determining coefficients in Multiple Regression Model.

The study concluded that Shapley Values allows us to calculate these coefficients and, therefore, the obtaining of the explanatory power of each independent variable with the dependent variable separately, which enables it to order the variables' importance and the contribution of each of them to configuring the multiple R Squared of the model and thus the contribution to increasing the quality of the model reconciliation through attention to the more explanatory variables of the model, which shows the significance of each variable.

And this method yields better results than the calculation of the partial correlation coefficient as it shows the correlation relationship rather than the explanatory power of each independent variable.