Venkat Hebbar

Correlation analysis is a very powerful tool for examining relationships in data, but it should only be used when appropriate. To avoid potential issues, it is important to carefully consider the data, examine raw data by plotting it, look out for nonlinear relationships, outliers, and heteroscedasticity of data, and to consider the coefficient of determination instead of just the correlation coefficient.