Reduced major axis in JMP, how can I find the R squared
Mar 30, 2020 11:35 AM(218 views)
I am a new user to JMP and statistics in general. I am trying to find the R squared in my RMA analysis. I used the fit Y by X then chose orthogonal fit, and the univariate variances, Prin Comp. I am looking for the R squared to see how close the data are to the fitted regression line. I appreciate any help.
R square is a sample statistic that estimates the amount of variation from fixed effects. It is calculated from the response Y as the model sum of squares divided by the corrected total sum of squares. This statistic only works if you perform ordinary least squares (OLS) regression. OLS assumes that all the error is in Y. Orthogonal regression in JMP allows for the case with errors in X and Y.