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Finding the Relationship of Some Factors That Affect on the Renal Function by Using Multiple Linear Regression Model

Journal: International Journal of Application or Innovation in Engineering & Management (IJAIEM) (Vol.7, No. 7)

Publication Date:

Authors : ;

Page : 018-024

Keywords : ;

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Abstract

ABSTRACT A Multiple linear regression model is statistical tool that permit to examine how multiple independent variables are correlated to a dependent variable. The kidney is very important organ in human body it has some function as filtration and secretion of waste like urea and nitrogen . In this study show the correlation between renal function , creatinin and alkaline phosphate . The significant value of creatinin was (0,00) and alkaline phosphate (0.23) by using statistical program SPSS version (22)with scatter plot graph to show the relation of factors. Key words: Renal failure, Renal Function, Multiple linear regressions, regression.

Last modified: 2018-08-24 17:53:59