source/text/scalc/01/statistics_regression.xhp | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
New commits:
commit 8e6440c88f34ad595feca16d0cffbf14940d2fd8
Author: Stanislav Horacek <stanislav.hora...@gmail.com>
Date: Sun Jul 24 16:44:32 2016 +0200
fix spelling of "coefficient"
Change-Id: Id988f9127d8d7af2dbd72ec899168d21b7d2923b
Reviewed-on: https://gerrit.libreoffice.org/27481
Reviewed-by: jan iversen <j...@documentfoundation.org>
Tested-by: jan iversen <j...@documentfoundation.org>
diff --git a/source/text/scalc/01/statistics_regression.xhp
b/source/text/scalc/01/statistics_regression.xhp
index 658feb2..39ddea7 100644
--- a/source/text/scalc/01/statistics_regression.xhp
+++ b/source/text/scalc/01/statistics_regression.xhp
@@ -58,7 +58,7 @@
<paragraph id="par_id1701201620340168" role="ul_item"
xml-lang="en-US"><emph>Logarithmic regression</emph>: find a logarithmic curve
in the form of <item type="literal">y = a.ln(x) + b</item>, where <item
type="literal">a</item> is the slope, <item type="literal">b</item> is the
intercept and <item type="literal">ln(x)</item> is the natural logarithm of
<item type="literal">x</item>, that best fits the data.</paragraph>
</listitem>
<listitem>
- <paragraph id="par_id1701201620340139" role="ul_item"
xml-lang="en-US"><emph>Power regression</emph>: Find a power curve in the form
of <item type="literal">y = a.x^b</item>, where <item type="literal">a</item>
is the coeficient, <item type="literal">b</item> is the power that best fits
the data.</paragraph>
+ <paragraph id="par_id1701201620340139" role="ul_item"
xml-lang="en-US"><emph>Power regression</emph>: Find a power curve in the form
of <item type="literal">y = a.x^b</item>, where <item type="literal">a</item>
is the coefficient, <item type="literal">b</item> is the power that best fits
the data.</paragraph>
</listitem></list>
<embed href="text/scalc/01/stat_data.xhp#regressiondata"/>
<paragraph id="par_id1001310" role="paragraph" xml-lang="en-US">The results of
the three types of <emph>regression analysis</emph> of the measurements in the
table above are shown below.</paragraph>
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