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: 24/08/2018
Authors : Sabah Hasan Jasim;
Page : 018-024
Keywords : ;
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.
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Last modified: 2018-08-24 17:53:59