File:Linear_regression.svg
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Original file (SVG file, nominally 438 × 289 pixels, file size: 71 KB)
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Summary
This diagram was created with SageMath.
DescriptionLinear regression.svg |
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')
|
Date | |
Source | Own work |
Author | Sewaqu |
Other versions | Derivative works of this file: Sedm zakladnich nastroju zlepsovani kvality cz.svg |
Licensing
Public domainPublic domainfalsefalse |
I, the copyright holder of this work, release this work into the public domain. This applies worldwide. In some countries this may not be legally possible; if so: I grant anyone the right to use this work for any purpose, without any conditions, unless such conditions are required by law. |
Items portrayed in this file
depicts
5 November 2010
image/svg+xml
File history
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Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 10:42, 31 March 2016 | 438 × 289 (71 KB) | RaphaelQS | transparent background | |
03:18, 5 November 2010 | 438 × 289 (42 KB) | Sewaqu | {{Information |Description={{en|1=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 |
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Width | 350pt |
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Height | 231pt |
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