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.
