Multiple linear regression (MLR) modeling of wastewater in urban region of Southern Malaysia

Fakhri Abdul Malik, . and Tony Hadibarata, . and Madzlan Aziz, . and Rita Sundari, . and Rubiyatno, . Multiple linear regression (MLR) modeling of wastewater in urban region of Southern Malaysia. pp. 93-102. ISSN 1823-8556

A wastewater modelling contributes a valuable information in managing wastewater problems. Therefore this study presented a multiple linear regression modelling on waste water in terms of heavy metal concentrations (lead copper and zinc) and water quality parameters (BOD COD TSS pH. temperature. The multiple linear regression was performed eight independent variables at three selected stations in six different times. The samples were collected from wastewater produced by a variety of food stalls in the urban region of Southern Malaysia. The results showed that the water pH was not influenced by lead dependent variable at all sampling stations. Pearson correlation was performed to investigate the significant relationship among continuous variables such as BOD COD TSS pH temperature lead copper and zinc. The one sample t-test was used in order to know the significant difference between numerical variables in all stations during the sampling period. Multiple comparisons and Fishers LSD method were also implemented for investigating the differentiation of numerical variables.

Full text available from: Official URL: http://jssm.umt.edu.my/files/2013/07/11w.pdf

Abstract

A wastewater modelling contributes a valuable information in managing wastewater problems. Therefore this study presented a multiple linear regression modelling on waste water in terms of heavy metal concentrations (lead copper and zinc) and water quality parameters (BOD COD TSS pH. temperature. The multiple linear regression was performed eight independent variables at three selected stations in six different times. The samples were collected from wastewater produced by a variety of food stalls in the urban region of Southern Malaysia. The results showed that the water pH was not influenced by lead dependent variable at all sampling stations. Pearson correlation was performed to investigate the significant relationship among continuous variables such as BOD COD TSS pH temperature lead copper and zinc. The one sample t-test was used in order to know the significant difference between numerical variables in all stations during the sampling period. Multiple comparisons and Fishers LSD method were also implemented for investigating the differentiation of numerical variables.

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Item Type:	Article
AGROVOC Term:	Wastewater
AGROVOC Term:	Urban areas
AGROVOC Term:	Multiple regression analysis
AGROVOC Term:	Statistical analysis
AGROVOC Term:	Biochemical oxygen demand
AGROVOC Term:	Heavy metals
AGROVOC Term:	Copper
AGROVOC Term:	Lead
AGROVOC Term:	Zinc
AGROVOC Term:	Water quality
Depositing User:	Mr. AFANDI ABDUL MALEK
Last Modified:	24 Apr 2025 00:54
URI:	http://webagris.upm.edu.my/id/eprint/8707

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