Attēls:Linear regression.svg
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Size of this PNG preview of this SVG file: 438 × 289 pikseļi. Citi izmēri: 320 × 211 pikseļi | 640 × 422 pikseļi | 1 024 × 676 pikseļi | 1 280 × 845 pikseļi | 2 560 × 1 689 pikseļi.
Sākotnējais fails (SVG fails, definētais izmērs 438 × 289 pikseļi, faila izmērs: 71 KB)
Kopsavilkums
| Apraksts |
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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| Datums | |
| Avots | Paša darbs |
| Autors | Sewaqu |
| Citas versijas |
Derivative works of this file: Sedm zakladnich nastroju zlepsovani kvality cz.svg:  |
| SVG veidošana |  This image was created with SageMath. and with Inkscape. |
Licence
|
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. |
Faila hronoloģija
Uzklikšķini uz datums/laiks kolonnā esošās saites, lai apskatītos, kā šis fails izskatījās tad.
| Datums/Laiks | Attēls | Izmēri | Dalībnieks | Komentārs | |
|---|---|---|---|---|---|
| tagadējais | 2016. gada 31. marts, plkst. 11.42 | | 438 × 289 (71 KB) | wikimediacommons>RaphaelQS | transparent background |
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