Import the csv filed name "CommuteStLouis.csv" a. Produce a correlation matrix of age, distance and time. Which two numeric variables are most highly correlated? What is the correlation coefficient for the above pair? Hint: If df is your dataframe then you can use print(df.corro) Age Distance Time Age 1.000000 -0.000774 0.030292 Distance -0.000774 1.000000 0.830241 Time 0.030292 0.830241 1.000000 b. Create a scatterplot matrix of the numeric variables in the data. What do the figures in the diagonal going from the top left to the bottom right show? What can you say about the skewness of the various attributes? 100 Distance 50 Time c. Produce a side-by-side boxplot of distance travelled by gender. Do the dat in the file indicate that women tend to commute shorter distances? c. Produce a side-by-side boxplot of distance travelled by gender. Do the data in the file indicate that women tend to commute shorter distances? 70 60 10