TY  - JOUR
T1  - Utilization Multifactor Linear Regression Technique for Prediction the
Earned Value in Bridges Projects
AU - M.S. AL-Zwainy, Faiq AU - Awad AL-Somaydaii, Jumaa AU - S.M. Aljumaily, Hadi 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 7
SP  - 1676
EP  - 1682
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.1676.1682
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.1676.1682
KW  - MLRT
KW  -earned value
KW  -bridges projects
KW  -EAC
KW  -R
KW  -R2
KW  -AA%
AB  - Earned value analysis is an extremely significant part in the operations of bridges projects
management principally with respect to EAC, this study aims at developing EAC Model for bridges projects
using Multifactor Linear Regression Technique (MLRT). One MLR Model was built up based upon 43 set of
database gathering between 2013 and 2016 from bridges and roads directorate in Iraq construction sector. Only
five affect factors were applied with regard to prediction by MLRT as independent factors F1:AC, Actual Cost,
F2:EV, Earned Value, F3:PV, Planning Value, F4:BAC, Budget at Completion and F5:D, Duration of project. Only
single model was constructed for forecasting with EAC for bridges projects. It was found that MLR have the
ability to predict the EAC with excellent rank of accuracy for the correlation coefficient (R) was 93.91% with
Average Accuracy (AA%) equal to 93.86%.
ER  -