[Libreoffice-commits] help.git: Branch 'libreoffice-5-2' - source/text

[Adolfo Jayme Barrientos]

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

New commits:
commit 7a10e0399a484b8904e05fec7af271bd7d109edf
Author: Adolfo Jayme Barrientos <fitojb at ubuntu.com>
Date:   Sat May 28 03:01:51 2016 -0500

    Misused word: “strait” → “straight”
    
    Change-Id: I9129c1d493ef47087fc3d39a58cc5142b4df8e38
    (cherry picked from commit a9a0e8625655eabdf702cfc754412488a79c0513)
    Reviewed-on: https://gerrit.libreoffice.org/25574
    Reviewed-by: Adolfo Jayme Barrientos <fitojb at ubuntu.com>
    Tested-by: Adolfo Jayme Barrientos <fitojb at ubuntu.com>

diff --git a/source/text/scalc/01/statistics_regression.xhp b/source/text/scalc/01/statistics_regression.xhp
index a217084..26ec722 100644
--- a/source/text/scalc/01/statistics_regression.xhp
+++ b/source/text/scalc/01/statistics_regression.xhp
@@ -52,7 +52,7 @@
 
 <list type="unordered">
   <listitem>
-    <paragraph id="par_id1701201620334364" role="ul_item" xml-lang="en-US"><emph>Linear Regression</emph>: find a strait line in the form of <item type="literal">y = a.x + b</item>, where <item type="literal">a</item> is the slope and <item type="literal">b</item> is the intercept that best fits the data.</paragraph>
+    <paragraph id="par_id1701201620334364" role="ul_item" xml-lang="en-US"><emph>Linear Regression</emph>: find a straight line in the form of <item type="literal">y = a.x + b</item>, where <item type="literal">a</item> is the slope and <item type="literal">b</item> is the intercept that best fits the data.</paragraph>
   </listitem>
   <listitem>
     <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>