Adjusted R Squared Calculator

The adjusted R squared is a modified version of R squared that has been adjusted for the number of predictors in a regression model. It is calculated as:
Adjusted R2 = 1 – [ (1-R2)(n-1) ] / (n-k-1)
where R2 is the R squared of the model, n is the sample size, and k is the number of predictors in the model, not including the intercept.
To calculate the adjusted R squared, simply fill in the values below and then click the “Calculate” button.

Adjusted R2 = 0.8551


Explanation:

Adjusted R2 = 1 – [ (1-R2)(n-1) ] / (n-k-1)

Adjusted R2 = 1 = [ (1-0.87)(40-1) ] / (404-1)

Adjusted R2 = 0.8551

Leave a Reply

Your email address will not be published. Required fields are marked *