The coefficient of determination is a measure of how well a regression line fits a given set of data. It is calculated by taking the square of the correlation coefficient between two variables and expressing it as a percentage. This allows you to determine how much of the variance in one variable can be explained by the other variable. It can range from 0 to 1, with 1 indicating a perfect fit. It is determined by dividing the explained variation by the total variation.
The coefficient of determination, often denoted R2, is the proportion of variance in the response variable that can be explained by the predictor variables in a regression model.
This calculator finds the coefficient of determination for a given regression model.
Simply enter a list of values for x (the predictor variable) and y (the response variable) in the boxes below, then click the “Calculate” button:
The coefficient of determination, often denoted R2, is the proportion of variance in the response variable that can be explained by the predictor variables in a regression model.
This calculator finds the coefficient of determination for a given regression model.
Simply enter a list of values for x (the predictor variable) and y (the response variable) in the boxes below, then click the “Calculate” button:
x (Predictor Variable)