[Libreoffice-commits] help.git: source/text

[Stanislav Horacek]

 source/text/scalc/01/statistics_regression.xhp |    2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

New commits:
commit 8e6440c88f34ad595feca16d0cffbf14940d2fd8
Author: Stanislav Horacek <stanislav.horacek at 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 <jani at documentfoundation.org>
    Tested-by: jan iversen <jani at 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>