Regresní analýza

y
Nelineární regrese v Matlabu
func=@(a,x)(a(1)*x.^2+a(2)*x+a(3));
9
a0=[1;0;3];
ahat=nlinfit(x,y,func,a0);
%graf
xrange = min(x):.02:max(x);
7
hold on
scatter(x,y)
6
plot(xrange,func(ahat,xrange),'m')
hold off
10
8
5
nlinfit: @(a,x)(a(1)*x. 2 +a(2)*x+a(3));
4
3
2
-2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 3
x