Question

Coefficient of linear correlation

Answer 1

The coefficient of linear correlation, also known as the correlation coefficient, is a statistical measure that quantifies the strength and direction of a linear relationship between two variables. It is denoted by the symbol "r" and ranges from -1 to +1.

A correlation coefficient of +1 indicates a perfect positive linear relationship, meaning that as one variable increases, the other variable also increases proportionally. A correlation coefficient of -1 indicates a perfect negative linear relationship, meaning that as one variable increases, the other variable decreases proportionally. A correlation coefficient of 0 indicates no linear relationship between the variables.

The correlation coefficient can be calculated using various methods, such as the Pearson correlation coefficient or the Spearman correlation coefficient, depending on the nature of the data and the type of relationship being analyzed. The coefficient of linear correlation is often used in statistical analysis to determine the strength and direction of relationships in bivariate data.