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authorOlivier Hallot <ohallot@collabora.co.uk>2016-03-08 11:28:49 -0300
committerCaolán McNamara <caolanm@redhat.com>2016-03-09 17:10:00 +0000
commit9dc3878117e8d2c4e6e6cf09b41fb2e06867a477 (patch)
tree4bd9a6f34b85dae4743037658708bae0508ffa3f /source/text/scalc/01/04060185.xhp
parent35c3a7c5774b09f974ebd34919c13b3aaa51bd4a (diff)
tdf#97021 Help pages for FORECAST.ETS functions
Write help page for FORECAST.ETS.* Calc functions Change-Id: I4fc3a0f18bb09e033b011206c41bec841e0d01f5 Reviewed-on: https://gerrit.libreoffice.org/23093 Reviewed-by: Caolán McNamara <caolanm@redhat.com> Tested-by: Caolán McNamara <caolanm@redhat.com>
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diff --git a/source/text/scalc/01/04060185.xhp b/source/text/scalc/01/04060185.xhp
index 7926cbf2a6..bb83598d14 100644
--- a/source/text/scalc/01/04060185.xhp
+++ b/source/text/scalc/01/04060185.xhp
@@ -133,6 +133,28 @@
<paragraph xml-lang="en-US" id="par_id3157874" role="paragraph" l10n="U" oldref="28">
<item type="input">=FORECAST(50;A1:A50;B1;B50)</item> returns the Y value expected for the X value of 50 if the X and Y values in both references are linked by a linear trend.</paragraph>
</section>
+ <section id="forecastlinear">
+<bookmark xml-lang="en-US" branch="index" id="bm_id3149052"><bookmark_value>regression lines;FORECAST.LINEAR function</bookmark_value>
+ <bookmark_value>extrapolations</bookmark_value>
+ <bookmark_value>FORECAST.LINEAR function</bookmark_value>
+</bookmark>
+<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FORECAST_LIN" id="bm_id3146102" localize="false"/>
+<paragraph xml-lang="en-US" id="hd_id3149052" role="heading" level="2">FORECAST.LINEAR</paragraph>
+ <paragraph xml-lang="en-US" id="par_id3153291" role="paragraph" l10n="U" oldref="21"><ahelp hid="HID_FUNC_SCHAETZER">Extrapolates future values based on existing x and y values.</ahelp></paragraph>
+ <paragraph xml-lang="en-US" id="hd_id3151344" role="heading" level="3" l10n="U"
+ oldref="22">Syntax</paragraph>
+ <paragraph xml-lang="en-US" id="par_id3147405" role="code" l10n="U" oldref="23">FORECAST(Value; DataY; DataX)</paragraph>
+ <paragraph xml-lang="en-US" id="par_id3148744" role="paragraph" l10n="U" oldref="24">
+ <emph>Value</emph> is the x value, for which the y value on the linear regression is to be returned.</paragraph>
+ <paragraph xml-lang="en-US" id="par_id3146326" role="paragraph" l10n="U" oldref="25">
+ <emph>DataY</emph> is the array or range of known y's.</paragraph>
+ <paragraph xml-lang="en-US" id="par_id3150537" role="paragraph" l10n="U" oldref="26">
+ <emph>DataX</emph> is the array or range of known x's.</paragraph>
+ <paragraph xml-lang="en-US" id="hd_id3147417" role="heading" level="3" l10n="U"
+ oldref="27">Example</paragraph>
+ <paragraph xml-lang="en-US" id="par_id3157875" role="paragraph" l10n="U" oldref="28">
+ <item type="input">=FORECAST.LINEAR(50;A1:A50;B1;B50)</item> returns the Y value expected for the X value of 50 if the X and Y values in both references are linked by a linear trend.</paragraph>
+ </section>
<section id="stdev">
<bookmark xml-lang="en-US" branch="index" id="bm_id3149143"><bookmark_value>STDEV function</bookmark_value>
<bookmark_value>standard deviations in statistics;based on a sample</bookmark_value>
1-1 LibreOffice 核心代码仓库文档基金会
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