https://bugs.kde.org/show_bug.cgi?id=422225
disu...@disroot.org changed:
What |Removed |Added
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CC| |disu...@disroot.org
--- Comment #2 from disu...@disroot.org ---
I have just checked it with the data you provided:
x: (0; 0,37; 0,5)
y: (0; 20; 25)
There are two variables (columns) of Numeric type (x, y) with three cases
(rows) each. And I got virtually the same results in both LabPlot and in
Libreoffice:
LabPlot:
c₀ = 0.00241456±0.011553 (478 %)
(t statistic: 0.209, p value: 0.869, conf. interval: -0.14438 .. 0.149209)
c₁ = 0.508915±0.0321703 (6.32 %)
(t statistic: 15.8, p value: 0.0402, conf. interval: 0.100152 .. 0.917678)
Libreoffice:
c₀ = 0.00241456 = intercept(y,x)
c₁ = 0.50891530 = slope(y,x)
However, if I don't reduce the default number of cases (rows) from one hundred
to three, LabPlot gives me the following estimates:
Parameters:
c₀ = 2.57031e-05±0.000122982 (478 %)
(t statistic: 0.209, p value: 0.835, conf. interval: -0.000218351 ..
0.000269757)
c₁ = 0.514287±0.00197717 (0.384 %)
(t statistic: 260, p value: 0, conf. interval: 0.510363 .. 0.518211)
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