A Multi-Linear Regression Model to Predict the Factors Affecting Water Consumption in Qatar

Abstract

Water scarcity is increasingly encouraging water-saving techniques and urban water management schemes committed to reducing the consumption of natural resources and the effects on the ecosystem. A comprehensive understanding of the nature of water supplies is required to design strategies for safe and effective use of water. Water management networks are complex. Consumption of water is affected by various variables, and therefore, the relationship of these variables is also complex. This study examines water consumption determinants in the State of Qatar, focusing on the factors linked to seasonal months by using a multiple linear regression model. The regression model was developed to accurately estimate the water consumption in Qatar to help the government's plan for water usage in Qatar. The results of the model shows that the temperature-related regression coefficient is associated with an increase in water consumption per capita. In addition, an increase in population density for each unit is correlated with a decrease in water consumption per capita.