Variable Name	Description	Coding
RANDOM ID	Random, unique number for each participant
AGE	Age at exam, in years	32-70
GENDER	Participants' sex	1=male, 0=female
TOTAL CHOL	Total cholesterol, mg/dL	107-696
SBP	Systolic blood pressure, mmHg	83.5-295
DBP	Diastolic blood pressure, mmHg	48-142.5
BP MEDS	Anti-hypertensive medications	0=no, 1=yes
BMI	Body mass index, kg/meters2	15.54-56.8
SMOKING	Smoking StatusCardio	0=no, 1=yes
CIGS PER DAY	Number of cigarettes smoked per day	0-70
GLUCOSE	Serum glucose mg/dL	40-394
DIABETES	Diabetic	0=no, 1=yes
HEART RATE	Heart rate , beats/minute	44-143
DEATH	Death from any cause over 24 year follow-up	0=no, 1=yes
STROKE	Stroke over 24 year follow-up	0=no, 1=yes
CVD	Cardiovascular disease over 24 year follow-up	0=no, 1=yes
HYPERTENSION	Hypertension over 24 year follow-up	0=no, 1=yes

https://1drv.ms/x/s!ArHxwX70OqJKhSCrQYHQn175ZklB?e=kT4Xvq

PART VI: Multiple Linear Regression

BasedonthesimplelinearregressionintheunivariateanalysiswehaveidentifiedasignificantpositiverelationshipbetweenBMI and SBP.However,wearenotcertainoftheextenttowhichthisassociationmightbeexplained(atleastpartially)byconfounding variables.

Inthis studyweareinterestedinadjustingforpotentialconfounderstoexaminetheindependenteffectofBMI at delivery onSBP.Assuch,thepredictorvariablesshouldbeassociatedwithSBP univariately. Thepotentialconfoundersweareinterestedininclude:

Age (continuous variable), gender (0= female; 1 = male), and treatment for hypertension (0 = no; 1 = yes)

Weneedtoinvestigatewhetherage, gender and treatment for hypertension areassociatedwith BMIbeforeproceedingwiththemultivariateregression.

Conduct a univariate analysis for each of these variables and complete the following tables:

1. Relationship between Age and BMI. Model Summary Table

Include the model summary table

LookingattheModelSummarytable:

WhatisthevalueofR?

Whatdoesthistellusabouttheassociationbetween age and BMI?

WhatisthevalueofRSquare?

WhatdoesthistellusaboutthemodelincludingageasapredictorofBMI?

Relationshipbetween ageand BMI- Include the AnovaTable

Looking at the ANOVA

What is the value of the F-Ratio?

What are your conclusions about the model based on this table? Write the results