ABSTRACT
This research work covers the application of
multiple linear regression on systolic blood pressure of 100 individuals. In
the analyses, the regression equation is
as shown; Y=110 + 0.60x1+ 0 270x2+0.68x3 where
it was observed that any change in the weight, age,, and height will lead to
changed in the SBP. The regression shows linear relationship. Using computer
software called MINITAB to analyze the data gotten from Federal Medical
Centre Owo
Ondo State,
the following results were gotten.
Weight contribute 4.8899 units to a damage
in blood pressure when age and height are held fixed, Age contribute 5.3774
unit to a change in blood pressure when weight and height are held fixed and
height contribute 0.88 4 unit to weight and height are held fixed and height
contribute 0.884 unit to a change in blood pressure when weight and age are
held fixed. All at α = 5% which now implies that weight and age contribute immensely
to change in blood pressure when these factors (weight, age, height) are being
considered.
TOPIC
APPLICATION OF
MULTIPLE LINEAR REGRESSIONS ON THE RELATIONSHIP BETWEEN THE BLOOD PRESSURE AND
THE WEIGHT AGE AND HEIGHT OF INDIVIDUALS
(A CASE STUDY
OF FEDERAL MEDICAL CENTRE OWO, ONDO
STATE)
A PROJECT
RESEARCH SUBMITTED TO
THE DEPARTMENT OF
INDUSTRIAL MATHEMATICS
AND APPLIED STATISTIC
FACULTY OF
PHYSICAL SCIENCES
IN PARTIAL FULFILLMENT
OF THE REQUIREMENTS FOR THE AWARD OF THE DEGREE OF BACHELOR OF SCIENCE (B.Sc.)
IN INDUSTRIAL MATHEMATICS AND APPLIED STATISTICS