**Coefficient of determination**is symbolized by r

^{2}because it is square of the

**coefficient**of correlation symbolized by r. The

**coefficient of determination**is an

**important**tool in determining the degree of linear-correlation of variables ('goodness of fit') in regression analysis.

Also asked, what does the coefficient of determination indicate?

R-squared

**is**a statistical measure of how close the data**are**to the fitted regression line. It**is**also known as the**coefficient of determination**, or the**coefficient**of multiple**determination**for multiple regression. 0%**indicates**that the model explains none of the variability of the response data around its**mean**.What is the symbol of the coefficient of determination?

Coefficient of Determination. The coefficient of determination (

**denoted**by R^{2}) is a key output of regression analysis. It is interpreted as the proportion of the variance in the dependent variable that is predictable from the independent variable.What is the value of the coefficient of determination?

The closer the value is to one, the better the fit, or relationship, between the two factors. The

**coefficient of determination**is the square of the correlation**coefficient**, also known as "R," which allows it to display the degree of linear correlation between two variables.