Make correlation matrix to assess the relationship between the different variables in the dataset.

[jacobqs]

• Begin by calculating the Pearson’s correlation coefficient for each pair of variables. This can be done using a statistical software package or by hand.

• Create a matrix of correlation coefficients by pairing each variable with all other variables in the dataset.

• Visualize the data by graphing the correlation coefficients in a heatmap. This will help you to identify any strong correlations between the variables.

• Interpret the correlations and identify any possible relationships between the variables. You can also use this matrix to identify any multicollinearity issues, which can be a problem when building predictive models.