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Multicollinearity refers to a situation in which :

a. successive error terms derived from the application of regression analysis to time series data are correlated. 

 b. there is a high degree of correlation between the independent variables included in a multiple regression model. 

 c. the dependent variable is highly correlated with the independent variable(s) in a regression analysis. 

 d. the application of a multiple regression model yields estimates that are nonlinear in form. 

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Question ajoutée par Emad Mohammed said abdalla , ERP & IT Software, operation general manager . , AL DOHA Company
Date de publication: 2015/05/21
Emad Mohammed said abdalla
par Emad Mohammed said abdalla , ERP & IT Software, operation general manager . , AL DOHA Company

  1. Multicollinearity refers to a situation in which The correct answer was: b. there is a high degree of correlation between the independent variables included in a multiple regression model.

Mehboob Ali Laghari
par Mehboob Ali Laghari , Social Mobilization Team Incharge , TRDP-European Union

Option B would be more appropriate 

Salvatore Augello
par Salvatore Augello , owner , A.S. Trade & Consult

that's B ______________________________________________

Georges Aref Chaoul
par Georges Aref Chaoul , Sales & Media Director , Maids.cc

(B)              Thank You.

Utilisateur supprimé
par Utilisateur supprimé

With the members

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Thanks

mohamed badawy
par mohamed badawy , Head Of Operations , Almajdoui Logistics Company

option b ....................................................................................................................

Khaled Anwar
par Khaled Anwar , Senior Sales Engineer , "Automotive company''

The answer is: option ( B )

khaled elkholy
par khaled elkholy , HR MANAGER , misk for import & export

B.is right....... .... .........

Mohammed Fathe  Shaheem
par Mohammed Fathe Shaheem , Operation Executive , Arabian Construction Company

B..................................................................................................

(B) there is a high degree of correlation between the independent variables included in a multiple regression model. 

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