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File:Linear regression.svg

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出自維基百科,自由嘅百科全書

原本檔案 (SVG檔案,表面大細: 438 × 289 像素,檔案大細:71 KB)

摘要

 
This diagram was created with SageMath.
描述
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')
日期
來源 自己作品
作者 Sewaqu
Other versions Derivative works of this file:  Sedm zakladnich nastroju zlepsovani kvality cz.svg

協議

Public domain 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.

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A straight line with y-intercept 5 fitted to datapoints

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圖中顯示嘅係

5 11 2010

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現時2016年3月31號 (四) 10:42響2016年3月31號 (四) 10:42嘅縮圖版本438 × 289(71 KB)RaphaelQStransparent background
2010年11月5號 (五) 03:18響2010年11月5號 (五) 03:18嘅縮圖版本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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