Joint influence of several factors on blood sugar levels

Abstract EN

This paper is an application of linear regression analysis to a data set.

The object is to study the joint effect of some factors on blood sugar level of diabetic patients.

The factors included are likely to have an effect on blood sugar level.

Data was randomly selected from two private clinics in the Holy City of Makkah.

It represents 450 Saudi diabetic male and female patients.

Factors considered here are age, bodymass, family history, number of children, marital status and food habits.

The one factor regression models for blood sugar level on each factor listed above were studied.

Then, accordingly the study pass on to considering the general multiple regression analysis for the combined (male and female) and separately for male and female patients.

Finally, the stepwise regression technique is used to find out if it is desirable to include all the factors that we have listed or whether some factors can be eliminated as relatively unimportant.