Using The Model Of Multiple Regression For The Relationship Between Effective Variables In Diabetes

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Sabah Hasan Jasim

Abstract

Diabetes is a complex group of diseases with a variety of causes. Diabetes results in abnormal levels of glucose in the blood stream for 20 sample diabetes patients. The main variables under study were ageandHbA1C are useful clinical tools regression relation was used in this study. This research include study importance of using multiple regression model to predicting the some variables like age and HbA1C that effect on diabetics with help of statistical package SPSS 22according to null hypothesis . In result show in F-value is 74,134 with 2(df) , 17degree tract show strongly significant and in T-test show T=0932 and p- value 0.365 then null hypothesis is reject and we have relation  between age and diabetes T=3.115HbA1C , p- value =0.006 , T=4.046 and p-value =0.001 . Finally both age and  HbA1C individually linear relation with diabetes.

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How to Cite
Using The Model Of Multiple Regression For The Relationship Between Effective Variables In Diabetes. (2022). Journal of the College of Basic Education, 23(99), 35-42. https://doi.org/10.35950/cbej.v23i99.6763
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pure science articles

How to Cite

Using The Model Of Multiple Regression For The Relationship Between Effective Variables In Diabetes. (2022). Journal of the College of Basic Education, 23(99), 35-42. https://doi.org/10.35950/cbej.v23i99.6763

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