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Analyze the association between hypertension, BMI, triglycerides, and variant rs174548 using logistic regression and linear regression.

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Linear-and-Logistic-Regression-of-Cholesterol-

The goal is to explore relationships among the dataset's features using the statistical methods.

Explore the cholesterol dataset

Use graphical and descriptive methods to investigate the association between triglycerides and BMI

Use simple linear regression to investigate the association between triglycerides and BMI

Use logistic regression to investigate the association between triglycerides and hypertension

Analyze the association between hypertension and rs174548 adjusted for triglycerides using logistic regression

Features

ID: Subject ID

sex: Sex: 0 = male, 1 = female

age: Age in years

chol: Serum total cholesterol, mg/dl

BMI: Body-mass index, kg/m2

TG: Serum triglycerides, mg/dl

APOE: Apolipoprotein E genotype, with six genotypes coded 1-6: 1 = e2/e2, 2 = e2/e3, 3 = e2/e4, 4 = e3/e3, 5 = e3/e4, 6 = e4/e4

rs174548: Candidate SNP 1 genotype, chromosome 11, physical position 61,327,924.

Coded as the number of minor alleles: 0 = C/C, 1 = C/G, 2 = G/G

rs4775401: Candidate SNP 2 genotype, chromosome 15, physical position 59,476,915. Coded as the number of minor alleles: 0 = C/C, 1 = C/T, 2 = T/T

HTN: diagnosed hypertension: 0 = no, 1 = yes

chd: diagnosis of coronary heart disease: 0 = no, 1 = yes

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Analyze the association between hypertension, BMI, triglycerides, and variant rs174548 using logistic regression and linear regression.

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