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متابعة

Time-series analysis is based on the assumption that :

 a. random error terms are normally distributed. 

 b. there are dependable correlations between the variable to be forecast and other independent variables. 

 c. past patterns in the variable to be forecast will continue unchanged into the future. 

 d. the data do not exhibit a trend. 

user-image
تم إضافة السؤال من قبل Emad Mohammed said abdalla , ERP & IT Software, operation general manager . , AL DOHA Company
تاريخ النشر: 2015/05/25
mohamed badawy
من قبل mohamed badawy , Head Of Operations , Almajdoui Logistics Company

I choose option c .........................................

Nasir Hussain
من قبل Nasir Hussain , Sales And Marketing Manager , Pakistan Pharmaceutical Products Pvt. Ltd.

c. past patterns in the variable to be forecast will continue unchanged into the future. ............................................................................................

مستخدم محذوف‎
من قبل مستخدم محذوف‎

Agree with my mentors

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C

Khaled Anwar
من قبل Khaled Anwar , Senior Sales Engineer , "Automotive company''

The answer is : option ( C ) ,,,,,

khaled elkholy
من قبل khaled elkholy , HR MANAGER , misk for import & export

 c. past patterns in the variable to be forecast will continue unchanged into the future.mmmmmmmmmmmmmmmmmmmmm

Bello Abubakar
من قبل Bello Abubakar , Cinema 4D Render/Sketch UP, AutoCAD, ArchiCAD and Revit Specialist , Federal Housing Authority

..........................................c. past patterns in the variable to be forecast will continue unchanged into the future. 

Emad Mohammed said abdalla
من قبل Emad Mohammed said abdalla , ERP & IT Software, operation general manager . , AL DOHA Company

  1. The correct answer was: c. past patterns in the variable to be forecast will continue unchanged into the future.. past patterns in the variable to be forecast will continue unchanged into the future. 

Georges Aref Chaoul
من قبل Georges Aref Chaoul , Business Unit Director - Consumer Services , Kaizen Asset Management Services

(C)                 Thank You.