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Register a new userSolving the problem of multi collinearity in regression model
خوارزمية حل مشكلة الارتباط الخطي في نموذج الانحدار
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لقد قمنا في هذا البحث بدراسة الارتباط الخطي المتعدد بين المتغيرات المستقلة في نموذج الانحدار الخطي المتعدد في حالة وجود خلل في أحد شروط النموذج الأساسية ، و عرضنا دراسة نظرية مرجعية لأنواع الارتباط الخطي و أسباب ظهور مشكلة الارتباط الخطي المتعدد، و بعض طرائق الكشف عنها. إضافة لذلك تطرقنا لبعض الطرائق التي تعالج حالات الارتباط الخطي المتعدد ، ثم قدمنا طريقة جديدة لمعالجة الارتباط الخطي المتعدد . فمن خلال هذه الطريقة الجديدة لاحظنا أنه قد تمت معالجة الارتباط الخطي من جهة و كذلك حللنا مشكلة التناقض بين معنوية نموذج الانحدار و عدم معنوية معامل أو أكثر من معاملاته.
In this research ,we studied the problem of multicollinearity among independent variables in the multiple regression model this matter leads to a mistake in one of the essential conditions of the multiple regression model and getting incorrect results. At the beginning we have introduced documented theoretical study of the kinds of the multicollinearity and of the reasons of the problem of the multiple regression model and some methods to discover them. In addition to this we mentioned some methods that treat the cases of multiple regression model then we introduced a new method to treat multicollineartiy and apply it to an example . In this method we have dealt with multicollinearity on the hand and solved the problem of discrepancy between the significant of the regression model and the non-significant of one or more coefficient.
References used
العبدالله، يوسف عصام الدين، تأثير القيم الشاذة على معلمات نموذج الانحدار . الخطي المتعدد- 2015.
بري، عدنان ماجد عبد الرحمن، تحليل الانحدار الخطي- جامعة الملك سعود
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