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Prediction of Pore Water-Pressure Using Multiple Linear Regression (MLR)

Abu Bakar, Fatin Amirah (2016) Prediction of Pore Water-Pressure Using Multiple Linear Regression (MLR). IRC, Universiti Teknologi PETRONAS. (Submitted)

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Knowledge of pore water pressure responses to rainfall is requires in any project related to slopes stability analysis. Multiple Linear Regression (MLR) is an extension of linear regression and can be used to represent the relationship between dependent and independent variables. Multiple Linear Regression (MLR) was employed to develop the MLR model equation for prediction of pore water pressure responses to rainfall. For this purpose, the time series of pore water pressure and rainfall data were obtained and used to develop the MLR model. Total of 1416 data were collected through a field work of a slope in Universiti Teknologi PETRONAS. Data was divided into two groups as 990 for training and 426 for testing of pore water pressure. The input data was analyzed using linear regression and the performance of the MLR model was evaluated by different statistical measures such as the analysis of variance (ANOVA), coefficient of determination (R2), root mean square error (RMSE) and the coefficient of efficiency (CE). Prediction results showed that MLR model equation has a better performance during training since testing has produced a high value of coefficient of determination,

Item Type: Final Year Project
Academic Subject : Academic Department - Civil Engineering - Water and environment - Water
Subject: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering > Civil
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 19 Jan 2017 15:38
Last Modified: 25 Jan 2017 09:34
URI: http://utpedia.utp.edu.my/id/eprint/17154

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