Using Big Class and Bivariate Fit of height by weight. You can use the kernel smoother and get a fit report as well a red hotspot next to the fit legend:![bivariate.JPG bivariate.JPG](https://community.jmp.com/t5/image/serverpage/image-id/20469iE3EF000E89E98268/image-size/medium?v=v2&px=400)
There you can save the coefficients (X Loess, Y Loess), as well as the prediction formula. The formula will be harder understand if you just look into the formula editor
![formula.JPG formula.JPG](https://community.jmp.com/t5/image/serverpage/image-id/20470iD7ADD12163E875E1/image-size/medium?v=v2&px=400)
, but double clicking in the formula will show you the full formula:
Interpolate(
:height,
[51, 55, 58, 60, 62, 64, 66, 68, 70],
[66.4237610962498, 77.9887711985387, 87.676320121761, 99.4642495608787, 100.773120401001, 105.139185406223, 117.30361698686, 130.514041992402, 144.259907247776]
)
The values used are the coefficients again. Based on your sampling Delta you may get more/less coefficients.
Is that what you are looking for?
/****NeverStopLearning****/