Solving Multivar Non-Linear Regression from a Data Set
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I was wondering if there is an easy way to kick out a non-linear multi-variable function regarding the data set attached. I'm attempting to form an explicit equation given relative humidity and temperature to return a grain moisture value. It would look something like
GM(RH,T)= Some math function likely of a high order.
Thanks for your help!
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Alex Sha
on 7 May 2019
try the function below:
z = (p1+p2*x+p3*y)/(1+p4*x+p5*y)+p6;
where z: moisture content; x: temperature; y:humidity
Root of Mean Square Error (RMSE): 0.148437535287715
Sum of Squared Residual: 4.31860556892916
Correlation Coef. (R): 0.999717219678578
Parameter Best Estimate
---------- -------------
p1 1.75848845477413
p2 -0.00979215022577775
p3 0.0393672233260706
p4 -5.7848395094425E-5
p5 -0.00893764367208257
p6 3.09363976785431
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