I am currently using ANSYS to model the behaviour of cardiovascular tissue.
I've input experimental data (non linear behaviour) and ANSYS has fitted a polynomial non-linear model to the data.
ANSYS outputs two statistical measures of how well the calculated curve fits the experiemntal points....namely the root mean square error (as a percentage) and the coefficient of determination.
My problem is this.....ANSYS does a good job fitting the data...but the stats have confused me somewhat. Oone of the results states that the coefficient of determination is 0.999 (correct me if I'm wrong but this means a good fit), but the corresponding RMS error is given as 87% (which is bad & before anyone suggests..I've double checked the decimal points).
Anybody have an explaination for this?? How can both measures be soo far removed from another or am I missing the point (never that good at stats)?
Look forward to hearing from one of you,
Regards
Joe Daly
I've input experimental data (non linear behaviour) and ANSYS has fitted a polynomial non-linear model to the data.
ANSYS outputs two statistical measures of how well the calculated curve fits the experiemntal points....namely the root mean square error (as a percentage) and the coefficient of determination.
My problem is this.....ANSYS does a good job fitting the data...but the stats have confused me somewhat. Oone of the results states that the coefficient of determination is 0.999 (correct me if I'm wrong but this means a good fit), but the corresponding RMS error is given as 87% (which is bad & before anyone suggests..I've double checked the decimal points).
Anybody have an explaination for this?? How can both measures be soo far removed from another or am I missing the point (never that good at stats)?
Look forward to hearing from one of you,
Regards
Joe Daly