source/text/scalc/01/statistics_regression.xhp | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
New commits:
commit a9a0e8625655eabdf702cfc754412488a79c0513
Author: Adolfo Jayme Barrientos <fit...@ubuntu.com>
Date: Sat May 28 03:01:51 2016 -0500
Misused word: âstraitâ â âstraightâ
Change-Id: I9129c1d493ef47087fc3d39a58cc5142b4df8e38
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>
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