There are two methods to find the R squared value: Sample data for R squared value How to find the R2 value Suppose we have below values for x and y and we want to add the R squared value in regression.įigure 3. In order to calculate R squared, we need to have two data sets corresponding to two variables. R squared can then be calculated by squaring r, or by simply using the function RSQ. The correlation coefficient, r can be calculated by using the function CORREL. Fortunately, Excel has built-in functions that allow us to easily calculate the R squared value in regression. The formula for R squared is quite complicated, and entering the values in a cell is prone to errors in calculation. The value of R squared shall indicate that if there is correlation between the two variables, a change in value of the independent variable will likely result to a change in the dependent variable. In the formula, x and y are two variables for which we want to determine for any linear or non-linear correlation. Hence, the formula for R squared is given byįigure 2. Correlation coefficient formula R squared formula The correlation coefficient is given by the formula:įigure 1. Also referred to as R-squared, R2, R^2, R 2, it is the square of the correlation coefficient r. R squared is an indicator of how well our data fits the model of regression.
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