File:Residuals for Linear Regression Fit.png
Summary
| Description |
English: Shows the best-fit line to a given dataset (in red), and the resulting residuals (in black).
Produced with the following python code: from pylab import *
# generate the data
x = arange(10)
np.random.seed(10)
y = 3*x+2+20*np.random.rand(len(x))
# determine the line-fit
k,d = polyfit(x,y,1)
yfit = k*x+d
# plot the data
scatter(x,y)
hold(True)
plot(x, yfit, 'r')
for ii in range(len(x)):
plot([x[ii], x[ii]], [yfit[ii], y[ii]], 'k')
xlim((-0.1, 9.1))
xlabel('X')
ylabel('Y')
savefig('residuals.png', dpi=200)
show()
|
| Date | |
| Source | Own work |
| Author | Thomas.haslwanter |
Licensing
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