However, if we plot Duration and Calorie_Burnage, the R-Squared increases. Here, we see that the data points are close to the linear regression function line:Here is the code in Python:Example import pandas as pdimport matplotlib.pyplot as pltfrom scipy import statsfull_health_data = pd....
Use sns.heatmap() to tell Python that we want a heatmap to visualize the correlation matrix. Use the correlation matrix. Define the maximal and minimal values of the heatmap. Define that 0 is the center. Define the colors with sns.diverging_palette. n=500 means that we want 500 types ...