Single Order of Multiple Regression Model of Water Quality Index (WQI) in Manjung River and its Tributaries

Abstract

This research highlights a multi-variety technique to examine the relationship between dependent and independent variable in predicting the water quality index in Manjung Rivers and its affluents. The model building process been used to analyse and generate the data. There are 63 possible models for single order multiple regressions. The number of possible model started to reduce as we started to eliminate insignificant variable. This model then needs to run under eight selection criteria to identify the best model. The best model will be certified by using Mean absolute percentage error (MAPE) in order to measure the validity of the model.

Trend Analysis on Water Quality Index Using the Least Squares Regression Models

“…The QUAL2K model has been employed to simulate the effect of BOD and Ammoniacal Nitrogen (AN) from industrial areas to Tebrau River [15]. The first order interaction multiple regression models were used in forecasting the WQI in Manjung River and its tributaries [16]. Recent study developed an InfoWorks simulation to simulate the load reduction for COD at Malacca River, Malaysia [17].…”