<prompt> When the height and weight is perfectly correlated, coefficient of correlation is -1-10More than 1  <response>: Ans. is a i.e., 1 o If height and weight are perfectly correlated then increase in height will cause propoionate increase weight and it is represented by correlation cofficient 1. Also know: o Multiplication correlation coefficient: It is used for calculation between one variable dependent and the combination of two or more variable Independent o Coefficient of determination r2 The correlation coefficient r is frequency used descriptive measure to represent the degree of linear association between two random variables X and Y. The coefficient of determination r2 is another measure that is often used to describe the degree of linear association between X and Y. Coefficient of determination is the percentage of variation in a variable dependent that is explained by one ore more others independents Coefficient of determination r2 Correlation coefficient Of It interprets the value of coefficient of correlation between two variable. For example, if the value of r 0.9, r2 will be 0.81 and this would mean that 81 of variation in the dependent variable has been explained by the independent variable. Value of this coefficient ranges from 0 to I Unlike correlation coefficient, the coefficient of determination does not assume any negative value, i.e. value of r2 is always --- 0 5_ r2 . 1. I-2 is generally obtained in a regression setup. It can be used to measure the strength of a simple linear regression as well at the strength of a multiple regression relationship. In multiple regression, the coefficient of determination r2 is also referred to as the multiple correlation coefficient. 