The dataset, acath.csv, contains real-world data regarding cardiac catheterization procedures

| August 30, 2017

uestion
The dataset, acath.csv, contains real-world data regarding cardiac catheterization procedures. If you are unfamiliar with this procedure, it is used to diagnose and treat heart problems. A long, thin tube is inserted into an artery in your groin, neck, or arm and threaded to your heart. Variables in the dataset are defined below.

Name

Labels

gender

Gender, {, }

age

Age, {0, 1, 2,..}

duration

Duration of Symptoms of Coronary Artery Disease in months

cholest

Cholesterol in mg/dl

sigdz

Significant Coronary Disease by Cardiac Cath coded { significant, }

tvdlm

Three Vessel or Left Main Disease by Cardiac Cath, {, }

Test to see whether gender and significant disease are statistically independent. Interpret the statistics.
Test to see if the distribution of age is uniform. Fit a density plot for age.
Build a regression model to forecast cholesterol as a function of age and gender and the interaction between the two. Interpret the results of the regression model.
Conduct a non-parametric test of correlation for age versus cholesterol. Interpret the results.
Investigate transformations for cholesterol.

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