How to do weighted least square rgression?
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Hello
I want to fit an exponential curve to my data using MatLab. Could you please guide me how can I write a code to fit this through weighted least square reression? The weight matrix is as follows. I could not find any instruction or sample code to do so!
weight=[18.5204555170429; 24.8007492441765; 21.4204953742493; 12.0007299687922; 5.17482448096073;2.24987321147564]
x=[1.5;4.5;7.5;10.5;13.5;16.5]
y=[0.466132177250491;0.307694759285704;0.477550022494737;0.489169081512968;0.439027124884140;0.306938063199741]
Thanks
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Star Strider
am 6 Okt. 2023
Bearbeitet: Star Strider
am 6 Okt. 2023
weight=[18.5204555170429; 24.8007492441765; 21.4204953742493; 12.0007299687922; 5.17482448096073;2.24987321147564];
x=[1.5;4.5;7.5;10.5;13.5;16.5];
y=[0.466132177250491;0.307694759285704;0.477550022494737;0.489169081512968;0.439027124884140;0.306938063199741];
mdl = fitlm(x,y, 'Weights',weight)
figure
plot(mdl)
grid
I assume that you want to do a linear regression, since you did not mention a nonllinear model of any sort.
.
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