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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-27 16:51:28 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-27 16:51:28 +0000
commit940b4d1848e8c70ab7642901a68594e8016caffc (patch)
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parentInitial commit. (diff)
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Adding upstream version 1:7.0.4.upstream/1%7.0.4upstream
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+<?xml version="1.0" encoding="UTF-8"?>
+<helpdocument version="1.0">
+<!--
+ * This file is part of the LibreOffice project.
+ *
+ * This Source Code Form is subject to the terms of the Mozilla Public
+ * License, v. 2.0. If a copy of the MPL was not distributed with this
+ * file, You can obtain one at http://mozilla.org/MPL/2.0/.
+ *
+ * This file incorporates work covered by the following license notice:
+ *
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed
+ * with this work for additional information regarding copyright
+ * ownership. The ASF licenses this file to you under the Apache
+ * License, Version 2.0 (the "License"); you may not use this file
+ * except in compliance with the License. You may obtain a copy of
+ * the License at http://www.apache.org/licenses/LICENSE-2.0 .
+-->
+
+<meta>
+ <topic id="regressiontopic" indexer="include" status="PUBLISH">
+ <title id="tit" xml-lang="en-US">Regression Analysis</title>
+ <filename>/text/scalc/01/statistics_regression.xhp</filename>
+ </topic>
+</meta>
+<body>
+<bookmark xml-lang="en-US" branch="index" id="bm_id2764278">
+<bookmark_value>Analysis toolpack;regression analysis</bookmark_value>
+<bookmark_value>regression analysis;Analysis toolpack</bookmark_value>
+<bookmark_value>Data statistics;regression analysis</bookmark_value>
+</bookmark>
+
+<bookmark xml-lang="en-US" branch="hid/modules/scalc/ui/regressiondialog/RegressionDialog" id="bm_id2745673" localize="false"/>
+<bookmark xml-lang="en-US" branch="hid/modules/scalc/ui/regressiondialog/@@nowidget@@" id="bm_id2745673" localize="false"/>
+<section id="regression">
+<h1 id="hd_id1701201615033510"><variable id="regressionanalysish1"><link href="text/scalc/01/statistics_regression.xhp" name="regression analysis">Regression Analysis</link></variable></h1>
+<paragraph id="par_id1001240" role="paragraph" xml-lang="en-US"><ahelp hid="modules/scalc/ui/regressiondialog/RegressionDialog">Produces the regression analysis of a data set</ahelp></paragraph>
+</section>
+
+<section id="howtoget">
+<paragraph id="par_id1000040" role="paragraph" xml-lang="en-US"><variable id="sam01">Choose <menuitem>Data - Statistics - Regression</menuitem></variable></paragraph>
+</section>
+<paragraph id="par_id1001270" role="note" xml-lang="en-US">For more information on regression analysis, refer to the <link href="https://en.wikipedia.org/wiki/Regression_analysis" name="English Wikipedia: Regression analysis">corresponding Wikipedia article</link>.</paragraph>
+<embed href="text/scalc/01/stat_data.xhp#data"/>
+<embed href="text/scalc/01/stat_data.xhp#grouped"/>
+
+<h2 id="hd_id1000070">Output Regression Type</h2>
+<paragraph id="par_id1001280" role="paragraph" xml-lang="en-US">Set the regression type. Three types are available: </paragraph>
+
+<list type="unordered">
+ <listitem>
+ <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>
+ </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 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>
+
+<table id="Tabela1">
+ <tablerow>
+ <tablecell>
+ <paragraph id="par_id1701201618090526" role="tablehead" xml-lang="en-US">Regression</paragraph>
+ </tablecell>
+ <tablecell>
+ </tablecell>
+ <tablecell>
+ </tablecell>
+ <tablecell>
+ </tablecell>
+ </tablerow>
+ <tablerow>
+ <tablecell>
+ </tablecell>
+ <tablecell>
+ </tablecell>
+ <tablecell>
+ </tablecell>
+ <tablecell>
+ </tablecell>
+ </tablerow>
+ <tablerow>
+ <tablecell>
+ <paragraph id="par_id1701201618090542" role="paragraph" xml-lang="en-US">Regression Model</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id1701201618090596" role="paragraph" xml-lang="en-US">Linear</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id1701201618090586" role="paragraph" xml-lang="en-US">Logarithmic</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id1701201618090555" role="paragraph" xml-lang="en-US">Power</paragraph>
+ </tablecell>
+ </tablerow>
+ <tablerow>
+ <tablecell>
+ <paragraph id="par_id1701201618090553" role="paragraph" xml-lang="en-US">R^2</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id1901201615114385" role="paragraph" localize="false" xml-lang="en-US">0.1243901235</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id1901201615114339" role="paragraph" localize="false" xml-lang="en-US">0.036283506</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id1901201615114321" role="paragraph" localize="false" xml-lang="en-US">0.0884254697</paragraph>
+ </tablecell>
+ </tablerow>
+ <tablerow>
+ <tablecell>
+ <paragraph id="par_id1701201618090595" role="paragraph" xml-lang="en-US">Standard Error</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id1901201615114322" role="paragraph" localize="false" xml-lang="en-US">1.8692568609</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id1901201615114330" role="paragraph" localize="false" xml-lang="en-US">1.9610483597</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id1901201615114373" role="paragraph" localize="false" xml-lang="en-US">0.7746321053</paragraph>
+ </tablecell>
+ </tablerow>
+ <tablerow>
+ <tablecell>
+ </tablecell>
+ <tablecell>
+ </tablecell>
+ <tablecell>
+ </tablecell>
+ <tablecell>
+ </tablecell>
+ </tablerow>
+ <tablerow>
+ <tablecell>
+ <paragraph id="par_id1701201618090563" role="paragraph" xml-lang="en-US">Slope</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id19012061511466" role="paragraph" localize="false" xml-lang="en-US">-0.2193939394</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id1901201615114648" role="paragraph" localize="false" xml-lang="en-US">-0.4894112008</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id1901201615114619" role="paragraph" localize="false" xml-lang="en-US">4.812672931</paragraph>
+ </tablecell>
+ </tablerow>
+ <tablerow>
+ <tablecell>
+ <paragraph id="par_id1701201618090642" role="paragraph" xml-lang="en-US">Intercept</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id1901201615114679" role="paragraph" localize="false" xml-lang="en-US">4.8666666667</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id190120165114664" role="paragraph" localize="false" xml-lang="en-US">4.3992268695</paragraph>
+ </tablecell>
+ <tablecell>
+ <paragraph id="par_id190101615114697" role="paragraph" localize="false" xml-lang="en-US">-0.3103085297</paragraph>
+ </tablecell>
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+ </tablecell>
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+ <paragraph id="par_id1901201615114663" role="paragraph" localize="false" xml-lang="en-US">4.3992268695</paragraph>
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+ </tablerow>
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+ </tablecell>
+ </tablerow>
+</table>
+<section id="relatedtopics">
+<embed href="text/scalc/01/stat_data.xhp#otherstat"/>
+</section>
+</body>
+</helpdocument>