Learn how to calculate and interpret correlation coefficients, which measure the strength and direction of a relationship between variables. Find out the different types of correlation coefficients, such as Pearson's r, Spearman's rho, and Kendall's tau. Learn about the different types and interpretations of correlation coefficients, which measure the strength and direction of the linear relationship between two variables. Find out how to use them in various fields of statistics, education, and science. Correlation in Statistics This section shows how to calculate and interpret correlation coefficients for ordinal and interval level scales. Methods of correlation summarize the relationship between two variables in a single number called the correlation coefficient . The correlation coefficient is usually represented using the symbol r, and it ranges from -1 to +1. In this section, we’ll explore what the correlation coefficient is, how it’s calculated, its types, and how to interpret it. 1.0 What is Correlation Coefficient ? A correlation coefficient is a statistical measure that describes the strength and direction of the relationship between two variables.
