12 Spearman Correlation

This video explains Spearman's correlation coefficient, a statistical measure used to assess the strength and direction of a monotonic relationship between two variables. It details how Spearman's correlation differs from Pearson's correlation, particularly when relationships are non-linear or when dealing with ordered variables and outliers. The explanation includes a step-by-step guide on calculating Spearman's correlation by ranking the data and then applying the Pearson correlation formula to these ranks. The video further illustrates the interpretation of Spearman's correlation coefficients, highlighting their range from -1 to 1 and what values indicate perfect, strong, or no monotonic relationships. It also discusses scenarios where Spearman's correlation is advantageous, such as with monotonic but non-linear data or when outliers are present. Subscribe to @AxiomTutoringCourses