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, {, }

1. Test to see whether gender and significant disease are statistically independent. Interpret the statistics.
2. Test to see if the distribution of age is uniform. Fit a density plot for age.

1. 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.
2. Conduct a non-parametric test of correlation for age versus cholesterol. Interpret the results.

1. Investigate transformations for cholesterol.