File:Linear regression.svg
Summary
| Description |
English: Random data points and their linear regression. Created with the following Sage (http://sagemath.org) commands:
X = RealDistribution('uniform', [-20, 60])
Y = RealDistribution('gaussian', 1.5)
f(x) = 3*x/20 + 5
xvals = [X.get_random_element() for _ in range(100)]
data = [(x, f(x) + Y.get_random_element()) for x in xvals]
m, b = var('m b')
g(x) = m*x + b
g(x) = g(x).subs(find_fit(data, g, solution_dict=True))
p = list_plot(data) + plot(g, (x, -20, 60), color='red')
p.save('linear_regression.svg')
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| Date | |
| Source | Own work |
| Author | Sewaqu |
| Other versions |
Derivative works of this file: Sedm zakladnich nastroju zlepsovani kvality cz.svg:  Category:Files with derivative versions |
| SVG development |
Licensing
 |
This work has been released into the public domain by its author, Sewaqu. This applies worldwide. In some countries this may not be legally possible; if so: Sewaqu grants anyone the right to use this work for any purpose, without any conditions, unless such conditions are required by law. |
