MindMap Gallery Cofficient of correlation
Coefficient of correlation is a statistical indicator used to measure the degree of correlation between two variables. It is used to quantify the linear relationship between two variables, with values between -1 and 1. If two variables are completely positively correlated, the correlation coefficient is 1; If there is a complete negative correlation, the correlation coefficient is -1; If there is no correlation between two variables, the correlation coefficient is close to 0. The correlation coefficient can help us understand the degree and direction of correlation between two variables, and further analyze their relationship. In statistics, correlation coefficients are commonly used in fields such as regression analysis, time series analysis, and experimental design. This is a mind map about Cofficent of Correlation. The map has 5 main branches, namely: Pearson's Correlation Coefficients, Spearman's Rank Correlation Coefficients, properties, definition and types. Each branch has sub branches for further detailed description. Suitable for people interested in mathematics.
Edited at 2023-05-03 21:37:22