Extend linear regression line to an offset

Hello

I am working an a calibration and I would like my graph to go to the offset, meaning it has to continue from their it though 0.0, but do not know how to set the range, my code is as following.

X = [0.6,1.6,2.6,3.6,4.6,5.6,];

Y = [23500, 87780, 153651, 220054, 283688,344890];

myFit = LinearModel.fit(X,Y);

plot(myFit)

Hope someone can help:)

Answer 1

[Star Strider]

I am not certain what you are asking.

Two possibilities:

X = [0.6,1.6,2.6,3.6,4.6,5.6,];
Y = [23500, 87780, 153651, 220054, 283688,344890];

B0 = X(:) \ Y(:);                                       % Force Zero Intercept
B0Fit = [0 max(X)] * B0;

Bnz = [X(:) ones(size(X(:)))] \ Y(:);                   % Non-Zero Intercept
BnzFit = [0 1; max(X) 1] * Bnz;

figure
plot(X,Y,'p')
hold on
plot([0 max(X)], B0Fit,'-r')
plot([0 max(X)], BnzFit,'-g')
hold off
grid
legend('Data', 'Force Zero Intercept', 'Extend To Zero', 'Location','E')

This extends both regressions through ‘X=0’. One forces a (0,0) intercept (returning only the slope), the other does not (returning both the slope and the non-zero intercept).