diff options
| author | Kurt Zenker <kz@openoffice.org> | 2009-06-04 09:41:18 +0000 |
|---|---|---|
| committer | Kurt Zenker <kz@openoffice.org> | 2009-06-04 09:41:18 +0000 |
| commit | 2dd63f45787b45ec66c3f1f15edac59c8b4408c1 (patch) | |
| tree | d4ab8e52fb2ca6f97943f28e73bf1b35a45d8cd2 /helpcontent2/source | |
| parent | a487dcd7768374d07c2295674d5204a3af19d8f6 (diff) | |
CWS-TOOLING: integrate CWS chart37
2009-05-22 09:10:36 +0200 iha r272170 : #i102130# color of pies is not loaded correctly
2009-04-27 17:16:20 +0200 iha r271294 : #i24203# compiler problem
2009-04-27 16:43:21 +0200 iha r271292 : #i101281# missing API documentation for secondary axis title properties
2009-04-27 15:26:05 +0200 hde r271276 : #i100987
2009-04-27 15:24:42 +0200 hde r271273 : #i100987
2009-04-24 15:08:33 +0200 iha r271214 : #i100995# crash with some logarithmic scalings
2009-04-22 18:50:56 +0200 dr r271134 : #i82177# write out deleted point labels
2009-04-22 18:40:48 +0200 iha r271133 : #i101281# missing API documentation for secondary axis title properties
2009-04-22 16:39:42 +0200 dr r271128 : #i82177# extensions for bubble charts
2009-04-22 14:37:00 +0200 dr r271114 : #i82177# import/export data label type and separator
2009-04-22 14:36:24 +0200 dr r271113 : #i82177# import/export data label type and separator
2009-04-21 15:25:26 +0200 dr r271038 : #i82177# import data label type and separator from BIFF8 CHFR records
2009-04-21 14:37:16 +0200 dr r271037 : #i82177# dump BIFF8 chart future records
2009-04-20 17:44:27 +0200 iha r271002 : #i96898# reduce library exports
2009-04-20 13:01:13 +0200 iha r270975 : #i24203# rotate data labels - help ids
2009-04-20 11:40:33 +0200 dr r270969 : #i96600# export of axis scaling/positioning properties
2009-04-16 16:02:31 +0200 dr r270892 : #i69599# keep Y axis left in 3d charts
2009-04-15 18:16:46 +0200 dr r270859 : #i69599# import of axis position settings
2009-04-15 18:16:01 +0200 dr r270858 : #i69599# correct handling of logarithmic crossing axes
2009-04-14 16:27:48 +0200 dr r270794 : #i96599# handle auto axis position on logarithmic axes
2009-04-09 19:59:51 +0200 dr r270722 : #i96599# import axis crossing settings, fix import of logarithmic scaling settings
2009-04-09 18:26:00 +0200 iha r270720 : #i96898# reduce library exports
2009-04-09 15:17:04 +0200 iha r270710 : #i96898# reduce library exports
2009-04-09 10:50:14 +0200 dr r270682 : #i24203# import/export of data label rotation, fixed some other broken stuff too
2009-04-08 16:54:54 +0200 dr r270657 : #i24203# import rotation for data point labels
2009-04-06 18:19:17 +0200 iha r270571 : #i100876# Axis scaling settings dialog wrong after API usage (anys different from double type)
2009-04-06 15:57:05 +0200 iha r270567 : #i100105# #i58585# leftover ->
2009-04-06 15:55:48 +0200 iha r270564 : #i58585# leftover ->
2009-04-02 16:41:07 +0200 iha r270422 : #i99721# remove unused code
2009-04-02 14:29:03 +0200 iha r270407 : #i99721# remove unused code
2009-03-26 10:58:23 +0100 iha r270059 : #i96898# reduce library exports
2009-03-26 10:13:49 +0100 iha r270055 : #i96898# reduce library exports
2009-03-25 09:39:13 +0100 iha r269998 : CWS-TOOLING: rebase CWS chart37 to trunk@269781 (milestone: DEV300:m44)
2009-03-24 17:56:56 +0100 iha r269986 : #i96898# reduce library exports
2009-03-24 16:56:44 +0100 iha r269974 : #i99721# remove unused code
2009-03-24 16:48:48 +0100 iha r269970 : #i89731# remove unused string
2009-03-24 15:44:04 +0100 iha r269961 : remove unused code
2009-03-24 15:22:45 +0100 iha r269959 : remove unused code
2009-03-24 15:17:17 +0100 iha r269957 : remove unused code
2009-03-24 11:14:53 +0100 iha r269923 : #i24203# rotate data labels
2009-03-09 12:10:25 +0100 hde r269076 : #i99300#
2009-03-06 15:56:26 +0100 iha r269011 : #i93953# Source Format for secondary axis without data
2009-02-17 15:59:05 +0100 iha r268177 : avoid warning during build
2009-02-17 15:01:59 +0100 iha r268173 : avoid warning during build
2009-02-13 09:39:03 +0100 ufi r267693 : i96999
2009-02-11 15:12:35 +0100 iha r267604 : removed unused string
2009-02-11 14:00:29 +0100 iha r267600 : #i96999# Corrected wording from 'correlation coefficient' to 'coefficient of determination'
2009-02-11 10:56:45 +0100 iha r267584 : #i89731# typo in resource string
2009-02-11 10:01:29 +0100 iha r267582 : #i89031# compile error on asian windows systems
2009-02-10 16:15:16 +0100 iha r267552 : #i24203# rotate data labels
2009-02-04 18:00:33 +0100 iha r267395 : #i98893# don't export defaults to file
2009-02-04 15:48:15 +0100 iha r267390 : #i92128# asian typography for chart elements
2009-02-04 15:17:41 +0100 iha r267386 : #i92128# asian typography for chart elements
2009-01-30 14:41:10 +0100 iha r267197 : CWS-TOOLING: rebase CWS chart37 to trunk@267171 (milestone: DEV300:m41)
Diffstat (limited to 'helpcontent2/source')
| -rw-r--r-- | helpcontent2/source/text/schart/01/04050100.xhp | 221 |
1 files changed, 115 insertions, 106 deletions
diff --git a/helpcontent2/source/text/schart/01/04050100.xhp b/helpcontent2/source/text/schart/01/04050100.xhp index 2c728ac160..ca27bfda9c 100644 --- a/helpcontent2/source/text/schart/01/04050100.xhp +++ b/helpcontent2/source/text/schart/01/04050100.xhp @@ -1,9 +1,8 @@ <?xml version="1.0" encoding="UTF-8"?> - - - +<helpdocument version="1.0"> + <!-- - *********************************************************************** +*********************************************************************** * * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. * @@ -11,9 +10,8 @@ * * OpenOffice.org - a multi-platform office productivity suite * - * $RCSfile: 04050100.xhp,v $ - * - * $Revision: 1.8 $ + * $RCSfile: soffice2xmlhelp.xsl,v $ + * $Revision: 1.10 $ * * This file is part of OpenOffice.org. * @@ -34,108 +32,119 @@ * ************************************************************************ --> - - - <helpdocument version="1.0"> + + <meta> -<topic id="textschart0104050100xml" indexer="include" status="PUBLISH"> -<title id="tit" xml-lang="en-US">Trend Lines </title> -<filename>/text/schart/01/04050100.xhp</filename> -</topic> -</meta> -<body> + <topic id="textschart0104050100xml" indexer="include" status="PUBLISH"> + <title xml-lang="en-US" id="tit">Trend Lines </title> + <filename>/text/schart/01/04050100.xhp</filename> + </topic> + </meta> + <body> <bookmark xml-lang="en-US" branch="index" id="bm_id1744743"><bookmark_value>calculating;regression curves</bookmark_value> -<bookmark_value>regression curves in charts</bookmark_value> -<bookmark_value>trend lines in charts</bookmark_value> -<bookmark_value>mean value lines in charts</bookmark_value> + <bookmark_value>regression curves in charts</bookmark_value> + <bookmark_value>trend lines in charts</bookmark_value> + <bookmark_value>mean value lines in charts</bookmark_value> </bookmark> -<bookmark xml-lang="en-US" branch="hid/.uno:InsertTrendline" id="bm_id2001709" localize="false"/><paragraph role="heading" id="hd_id5409405" xml-lang="en-US" level="1" l10n="CHG"><variable id="regression"><link href="text/schart/01/04050100.xhp">Trend Lines</link> +<bookmark xml-lang="en-US" branch="hid/.uno:InsertTrendline" id="bm_id2001709" localize="false"/> +<paragraph xml-lang="en-US" id="hd_id5409405" role="heading" level="1" l10n="CHG"><variable id="regression"><link href="text/schart/01/04050100.xhp">Trend Lines</link> </variable></paragraph> -<paragraph role="paragraph" id="par_id7272255" xml-lang="en-US" l10n="CHG"><variable id="trendlinestext"><ahelp hid=".">Regression curves, also known as trend lines, can be added to all 2D chart types except for Pie and Stock charts.</ahelp> + <paragraph xml-lang="en-US" id="par_id7272255" role="paragraph" l10n="CHG"><variable id="trendlinestext"><ahelp hid=".">Regression curves, also known as trend lines, can be added to all 2D chart types except for Pie and Stock charts.</ahelp> </variable></paragraph> -<section id="howtoget"> -<embed href="text/schart/00/00000004.xhp#trendlines"/> -</section><comment>None</comment> -<bookmark xml-lang="en-US" branch="hid/HID_SCH_TRENDLINE_RB_NONE" id="bm_id2659077" localize="false"/><paragraph role="paragraph" id="par_id143436" xml-lang="en-US" l10n="NEW"><ahelp hid="." visibility="hidden">No trend line is shown.</ahelp></paragraph><comment>Linear</comment> -<bookmark xml-lang="en-US" branch="hid/HID_SCH_TRENDLINE_RB_LINEAR" id="bm_id6944181" localize="false"/><paragraph role="paragraph" id="par_id5716727" xml-lang="en-US" l10n="NEW"><ahelp hid="." visibility="hidden">A linear trend line is shown.</ahelp></paragraph><comment>Logarithmic</comment> -<bookmark xml-lang="en-US" branch="hid/HID_SCH_TRENDLINE_RB_LOGARITHMIC" id="bm_id886257" localize="false"/><paragraph role="paragraph" id="par_id5840021" xml-lang="en-US" l10n="NEW"><ahelp hid="." visibility="hidden">A logarithmic trend line is shown.</ahelp></paragraph><comment>Exponential</comment> -<bookmark xml-lang="en-US" branch="hid/HID_SCH_TRENDLINE_RB_EXPONENTIAL" id="bm_id8892483" localize="false"/><paragraph role="paragraph" id="par_id9417096" xml-lang="en-US" l10n="NEW"><ahelp hid="." visibility="hidden">An exponential trend line is shown.</ahelp></paragraph><comment>Power</comment> -<bookmark xml-lang="en-US" branch="hid/HID_SCH_TRENDLINE_RB_POWER" id="bm_id7198400" localize="false"/><paragraph role="paragraph" id="par_id8482924" xml-lang="en-US" l10n="NEW"><ahelp hid="." visibility="hidden">A power trend line is shown.</ahelp></paragraph><comment>Show equation</comment> -<bookmark xml-lang="en-US" branch="hid/HID_SCH_TRENDLINE_SHOW_EQUATION" id="bm_id4724875" localize="false"/><paragraph role="paragraph" id="par_id8962370" xml-lang="en-US" l10n="NEW"><ahelp hid="." visibility="hidden">Shows the trend line equation next to the trend line.</ahelp></paragraph><comment>Show correlation coefficient (R2)</comment> -<bookmark xml-lang="en-US" branch="hid/HID_SCH_TRENDLINE_SHOW_R_SQUARED" id="bm_id9068880" localize="false"/><paragraph role="paragraph" id="par_id6889858" xml-lang="en-US" l10n="NEW"><ahelp hid="." visibility="hidden">Shows the correlation coefficient next to the trend line.</ahelp></paragraph> -<paragraph role="note" id="par_id8398998" xml-lang="en-US" l10n="CHG">If you insert a trend line to a chart type that uses categories, like <emph>Line </emph>or <emph>Column, </emph>then the numbers 1, 2, 3, <emph>…</emph> are used as x-values to calculate the trend line.</paragraph> -<list type="unordered"> -<listitem> -<paragraph role="paragraph" id="par_id5676747" xml-lang="en-US" l10n="CHG">To insert trend lines for all data series, double-click the chart to enter edit mode. Choose <item type="menuitem">Insert - Trend Lines</item>, then select the type of trend line from None, Linear, Logarithmic, Exponential, or Power trend line.</paragraph> -</listitem> -<listitem> -<paragraph role="paragraph" id="par_id4349192" xml-lang="en-US" l10n="CHG">To insert a trend line for a single data series, select the data series in the chart, right-click to open the context menu, and choose <item type="menuitem">Insert - Trend Line</item>.</paragraph> -</listitem> -<listitem> -<paragraph role="paragraph" id="par_id9337443" xml-lang="en-US" l10n="NEW">To delete a single trend line or mean value line, click the line, then press the Del key.</paragraph> -</listitem> -<listitem> -<paragraph role="paragraph" id="par_id4529251" xml-lang="en-US" l10n="NEW">To delete all trend lines, choose <item type="menuitem">Insert - Trend Lines</item>, then select <emph>None</emph>.</paragraph> -</listitem> -</list> -<paragraph role="note" id="par_id296334" xml-lang="en-US" l10n="CHG">A trend line is shown in the legend automatically.</paragraph> + <section id="howtoget"> + <embed href="text/schart/00/00000004.xhp#trendlines"/> + </section><comment>None</comment> +<bookmark xml-lang="en-US" branch="hid/HID_SCH_TRENDLINE_RB_NONE" id="bm_id2659077" localize="false"/> +<paragraph xml-lang="en-US" id="par_id143436" role="paragraph" l10n="NEW"><ahelp hid="." visibility="hidden">No trend line is shown.</ahelp></paragraph><comment>Linear</comment> +<bookmark xml-lang="en-US" branch="hid/HID_SCH_TRENDLINE_RB_LINEAR" id="bm_id6944181" localize="false"/> +<paragraph xml-lang="en-US" id="par_id5716727" role="paragraph" l10n="NEW"><ahelp hid="." visibility="hidden">A linear trend line is shown.</ahelp></paragraph><comment>Logarithmic</comment> +<bookmark xml-lang="en-US" branch="hid/HID_SCH_TRENDLINE_RB_LOGARITHMIC" id="bm_id886257" localize="false"/> +<paragraph xml-lang="en-US" id="par_id5840021" role="paragraph" l10n="NEW"><ahelp hid="." visibility="hidden">A logarithmic trend line is shown.</ahelp></paragraph><comment>Exponential</comment> +<bookmark xml-lang="en-US" branch="hid/HID_SCH_TRENDLINE_RB_EXPONENTIAL" id="bm_id8892483" localize="false"/> +<paragraph xml-lang="en-US" id="par_id9417096" role="paragraph" l10n="NEW"><ahelp hid="." visibility="hidden">An exponential trend line is shown.</ahelp></paragraph><comment>Power</comment> +<bookmark xml-lang="en-US" branch="hid/HID_SCH_TRENDLINE_RB_POWER" id="bm_id7198400" localize="false"/> +<paragraph xml-lang="en-US" id="par_id8482924" role="paragraph" l10n="NEW"><ahelp hid="." visibility="hidden">A power trend line is shown.</ahelp></paragraph><comment>Show equation</comment> +<bookmark xml-lang="en-US" branch="hid/HID_SCH_TRENDLINE_SHOW_EQUATION" id="bm_id4724875" localize="false"/> +<paragraph xml-lang="en-US" id="par_id8962370" role="paragraph" l10n="NEW"><ahelp hid="." visibility="hidden">Shows the trend line equation next to the trend line.</ahelp></paragraph><comment>Show correlation coefficient (R2)</comment> +<bookmark xml-lang="en-US" branch="hid/HID_SCH_TRENDLINE_SHOW_R_SQUARED" id="bm_id9068880" localize="false"/> +<paragraph xml-lang="en-US" id="par_id6889858" role="paragraph" l10n="CHG"><ahelp hid="." visibility="hidden">Shows the coefficient of determination next to the trend line.</ahelp></paragraph> + <paragraph xml-lang="en-US" id="par_id8398998" role="note" l10n="CHG">If you insert a trend line to a chart type that uses categories, like <emph>Line </emph>or <emph>Column, </emph>then the numbers 1, 2, 3, <emph>…</emph> are used as x-values to calculate the trend line.</paragraph> + <list type="unordered"> + <listitem> + <paragraph xml-lang="en-US" id="par_id5676747" role="paragraph" l10n="CHG">To insert trend lines for all data series, double-click the chart to enter edit mode. Choose <item type="menuitem">Insert - Trend Lines</item>, then select the type of trend line from None, Linear, Logarithmic, Exponential, or Power trend line.</paragraph> + </listitem> + <listitem> + <paragraph xml-lang="en-US" id="par_id4349192" role="paragraph" l10n="CHG">To insert a trend line for a single data series, select the data series in the chart, right-click to open the context menu, and choose <item type="menuitem">Insert - Trend Line</item>.</paragraph> + </listitem> + <listitem> + <paragraph xml-lang="en-US" id="par_id9337443" role="paragraph" l10n="NEW">To delete a single trend line or mean value line, click the line, then press the Del key.</paragraph> + </listitem> + <listitem> + <paragraph xml-lang="en-US" id="par_id4529251" role="paragraph" l10n="NEW">To delete all trend lines, choose <item type="menuitem">Insert - Trend Lines</item>, then select <emph>None</emph>.</paragraph> + </listitem> + </list> + <paragraph xml-lang="en-US" id="par_id296334" role="note" l10n="CHG">A trend line is shown in the legend automatically.</paragraph> <bookmark xml-lang="en-US" branch="hid/.uno:InsertMeanValues" id="bm_id7854243" localize="false"/> -<bookmark xml-lang="en-US" branch="hid/.uno:InsertMeanValue" id="bm_id7854245" localize="false"/><paragraph role="paragraph" id="par_id4072084" xml-lang="en-US" l10n="NEW"><ahelp hid=".">Mean Value Lines are special trend lines that show the mean value. Use <item type="menuitem">Insert - Mean Value Lines</item> to insert mean value lines for all data series. A single mean value line can be inserted by the <emph>Insert Mean Value Line</emph> command of the context menu of a data series.</ahelp></paragraph> -<paragraph role="paragraph" id="par_id9569689" xml-lang="en-US" l10n="NEW">The trend line has the same color as the corresponding data series. To change the line properties, select the trend line and choose <item type="menuitem">Format - Object Properties - Line</item>.</paragraph> -<bookmark xml-lang="en-US" branch="hid/.uno:InsertTrendlineEquation" id="bm_id2754600" localize="false"/><paragraph role="paragraph" id="par_id846888" xml-lang="en-US" l10n="NEW"><ahelp hid=".">To show the trend line equation, select the trend line in the chart, right-click to open the context menu, and choose <emph>Insert Trend Line Equation</emph>.</ahelp></paragraph> -<paragraph role="paragraph" id="par_id8962065" xml-lang="en-US" l10n="CHG">When the chart is in edit mode, %PRODUCTNAME gives you the equation of the trend line and the correlation coefficient R². Click on the trend line to see the information in the status bar.</paragraph> -<paragraph role="note" id="par_id1328470" xml-lang="en-US" l10n="NEW">For a category chart (for example a line chart), the regression information is calculated using numbers 1, 2, 3, … as x-values. This is also true if your data series uses other numbers as names for the x-values. For such charts the XY chart type might be more suitable.</paragraph> -<paragraph role="paragraph" id="par_id8092593" xml-lang="en-US" l10n="NEW">To show the equation and the correlation coefficient, select the regression curve and choose <item type="menuitem">Format - Object Properties - Equation</item>. <comment>see http://specs.openoffice.org/chart/DisplayTrendLineEquations.odt</comment></paragraph><comment>hid</comment><paragraph role="paragraph" id="par_id7971434" xml-lang="en-US" l10n="NEW"><ahelp hid="." visibility="hidden">Enable Show equation to see the equation of the regression curve.</ahelp></paragraph><comment>hid</comment><paragraph role="paragraph" id="par_id558793" xml-lang="en-US" l10n="NEW"><ahelp hid="." visibility="hidden">Enable Show correlation coefficient to see the correlation coefficient of the regression curve.</ahelp></paragraph> -<paragraph role="paragraph" id="par_id7735221" xml-lang="en-US" l10n="NEW">You can also calculate the parameters using Calc functions as follows.</paragraph> -<paragraph role="heading" id="hd_id5744193" xml-lang="en-US" level="2" l10n="NEW">The linear regression equation</paragraph> -<paragraph role="paragraph" id="par_id9251991" xml-lang="en-US" l10n="NEW">The <emph>linear regression</emph> follows the equation <item type="literal">y=m*x+b</item>.</paragraph> -<paragraph role="code" id="par_id7951902" xml-lang="en-US" l10n="NEW">m = SLOPE(Data_Y;Data_X) </paragraph> -<paragraph role="code" id="par_id6637165" xml-lang="en-US" l10n="NEW">b = INTERCEPT(Data_Y ;Data_X) </paragraph> -<paragraph role="paragraph" id="par_id7879268" xml-lang="en-US" l10n="NEW">Calculate the coefficient of determination by</paragraph> -<paragraph role="code" id="par_id9244361" xml-lang="en-US" l10n="NEW">r² = RSQ(Data_Y;Data_X) </paragraph> -<paragraph role="paragraph" id="par_id2083498" xml-lang="en-US" l10n="NEW">Besides m, b and r² the array function <emph>LINEST</emph> provides additional statistics for a regression analysis.</paragraph> -<paragraph role="heading" id="hd_id2538834" xml-lang="en-US" level="2" l10n="NEW">The logarithm regression equation</paragraph> -<paragraph role="paragraph" id="par_id394299" xml-lang="en-US" l10n="NEW">The <emph>logarithm regression</emph> follows the equation <item type="literal">y=a*ln(x)+b</item>.</paragraph> -<paragraph role="code" id="par_id2134159" xml-lang="en-US" l10n="NEW">a = SLOPE(Data_Y;LN(Data_X)) </paragraph> -<paragraph role="code" id="par_id5946531" xml-lang="en-US" l10n="NEW">b = INTERCEPT(Data_Y ;LN(Data_X)) </paragraph> -<paragraph role="code" id="par_id5649281" xml-lang="en-US" l10n="NEW">r² = RSQ(Data_Y;LN(Data_X)) </paragraph> -<paragraph role="heading" id="hd_id7874080" xml-lang="en-US" level="2" l10n="NEW">The exponential regression equation</paragraph> -<paragraph role="paragraph" id="par_id4679097" xml-lang="en-US" l10n="NEW"> For exponential regression curves a transformation to a linear model takes place. The optimal curve fitting is related to the linear model and the results are interpreted accordingly. </paragraph> -<paragraph role="paragraph" id="par_id9112216" xml-lang="en-US" l10n="NEW">The exponential regression follows the equation <item type="literal">y=b*exp(a*x)</item> or <item type="literal">y=b*m^x</item>, which is transformed to <item type="literal">ln(y)=ln(b)+a*x</item> or <item type="literal">ln(y)=ln(b)+ln(m)*x</item> respectively.</paragraph> -<paragraph role="code" id="par_id4416638" xml-lang="en-US" l10n="NEW">a = SLOPE(LN(Data_Y);Data_X) </paragraph> -<paragraph role="paragraph" id="par_id1039155" xml-lang="en-US" l10n="CHG">The variables for the second variation are calculated as follows:</paragraph> -<paragraph role="code" id="par_id7184057" xml-lang="en-US" l10n="NEW">m = EXP(SLOPE(LN(Data_Y);Data_X)) </paragraph> -<paragraph role="code" id="par_id786767" xml-lang="en-US" l10n="NEW">b = EXP(INTERCEPT(LN(Data_Y);Data_X)) </paragraph> -<paragraph role="paragraph" id="par_id7127292" xml-lang="en-US" l10n="NEW">Calculate the coefficient of determination by</paragraph> -<paragraph role="code" id="par_id5437177" xml-lang="en-US" l10n="NEW">r² = RSQ(LN(Data_Y);Data_X) </paragraph> -<paragraph role="paragraph" id="par_id6946317" xml-lang="en-US" l10n="NEW">Besides m, b and r² the array function LOGEST provides additional statistics for a regression analysis.</paragraph> -<paragraph role="heading" id="hd_id6349375" xml-lang="en-US" level="2" l10n="NEW">The power regression equation</paragraph> -<paragraph role="paragraph" id="par_id1857661" xml-lang="en-US" l10n="NEW"> For <emph>power regression</emph> curves a transformation to a linear model takes place. The power regression follows the equation <item type="literal">y=b*x^a</item> , which is transformed to <item type="literal">ln(y)=ln(b)+a*ln(x)</item>.</paragraph> -<paragraph role="code" id="par_id8517105" xml-lang="en-US" l10n="NEW">a = SLOPE(LN(Data_Y);LN(Data_X)) </paragraph> -<paragraph role="code" id="par_id9827265" xml-lang="en-US" l10n="NEW">b = EXP(INTERCEPT(LN(Data_Y);LN(Data_X)) </paragraph> -<paragraph role="code" id="par_id2357249" xml-lang="en-US" l10n="NEW">r² = RSQ(LN(Data_Y);LN(Data_X)) </paragraph> -<paragraph role="heading" id="hd_id9204077" xml-lang="en-US" level="2" l10n="NEW">Constraints<comment>UFI: is this still so?</comment></paragraph> -<paragraph role="paragraph" id="par_id7393719" xml-lang="en-US" l10n="CHG"> The calculation of the trend line considers only data pairs with the following values:</paragraph> -<list type="unordered"> -<listitem> -<paragraph role="paragraph" id="par_id7212744" xml-lang="en-US" l10n="NEW">logarithm regression: only positive x-values are considered,</paragraph> -</listitem> -<listitem> -<paragraph role="paragraph" id="par_id1664479" xml-lang="en-US" l10n="NEW">exponential regression: only positive y-values are considered,</paragraph> -</listitem> -<listitem> -<paragraph role="paragraph" id="par_id8734702" xml-lang="en-US" l10n="NEW">power regression: only positive x-values and positive y-values are considered.</paragraph> -</listitem> -</list> -<paragraph role="paragraph" id="par_id181279" xml-lang="en-US" l10n="NEW">You should transform your data accordingly; it is best to work on a copy of the original data and transform the copied data.</paragraph> -<paragraph role="heading" id="hd_id7907040" xml-lang="en-US" level="2" l10n="NEW">The polynomial regression equation</paragraph> -<paragraph role="paragraph" id="par_id8918729" xml-lang="en-US" l10n="NEW">A <emph>polynomial regression</emph> curve cannot be added automatically. You must calculate this curve manually. </paragraph> -<paragraph role="paragraph" id="par_id33875" xml-lang="en-US" l10n="NEW">Create a table with the columns x, x², x³, … , xⁿ, y up to the desired degree n. </paragraph> -<paragraph role="paragraph" id="par_id8720053" xml-lang="en-US" l10n="NEW">Use the formula <item type="literal">=LINEST(Data_Y,Data_X)</item> with the complete range x to xⁿ (without headings) as Data_X. </paragraph> -<paragraph role="paragraph" id="par_id5068514" xml-lang="en-US" l10n="NEW">The first row of the LINEST output contains the coefficients of the regression polynomial, with the coefficient of xⁿ at the leftmost position.</paragraph> -<paragraph role="paragraph" id="par_id8202154" xml-lang="en-US" l10n="NEW">The first element of the third row of the LINEST output is the value of r². See the <link href="text/scalc/01/04060107.xhp#Section8">LINEST</link> function for details on proper use and an explanation of the other output parameters.</paragraph> -<section id="relatedtopics"> -<paragraph role="paragraph" id="par_id4562211" xml-lang="en-US" l10n="CHG"><link href="text/schart/01/04050000.xhp">Y Error Bars tab page</link></paragraph> -</section> -</body> -</helpdocument> +<bookmark xml-lang="en-US" branch="hid/.uno:InsertMeanValue" id="bm_id7854245" localize="false"/> +<paragraph xml-lang="en-US" id="par_id4072084" role="paragraph" l10n="NEW"><ahelp hid=".">Mean Value Lines are special trend lines that show the mean value. Use <item type="menuitem">Insert - Mean Value Lines</item> to insert mean value lines for all data series. A single mean value line can be inserted by the <emph>Insert Mean Value Line</emph> command of the context menu of a data series.</ahelp></paragraph> + <paragraph xml-lang="en-US" id="par_id9569689" role="paragraph" l10n="NEW">The trend line has the same color as the corresponding data series. To change the line properties, select the trend line and choose <item type="menuitem">Format - Object Properties - Line</item>.</paragraph> +<bookmark xml-lang="en-US" branch="hid/.uno:InsertTrendlineEquation" id="bm_id2754600" localize="false"/> +<paragraph xml-lang="en-US" id="par_id846888" role="paragraph" l10n="NEW"><ahelp hid=".">To show the trend line equation, select the trend line in the chart, right-click to open the context menu, and choose <emph>Insert Trend Line Equation</emph>.</ahelp></paragraph> + <paragraph xml-lang="en-US" id="par_id8962065" role="paragraph" l10n="CHG">When the chart is in edit mode, %PRODUCTNAME gives you the equation of the trend line and the coefficient of determination R². Click on the trend line to see the information in the status bar.</paragraph> + <paragraph xml-lang="en-US" id="par_id1328470" role="note" l10n="NEW">For a category chart (for example a line chart), the regression information is calculated using numbers 1, 2, 3, … as x-values. This is also true if your data series uses other numbers as names for the x-values. For such charts the XY chart type might be more suitable.</paragraph> + <paragraph xml-lang="en-US" id="par_id8092593" role="paragraph" l10n="CHG">To show the equation and the coefficient of determination, select the regression curve and choose <item type="menuitem">Format - Object Properties - Equation</item>. <comment>see http://specs.openoffice.org/chart/DisplayTrendLineEquations.odt</comment></paragraph><comment>hid</comment> +<paragraph xml-lang="en-US" id="par_id7971434" role="paragraph" l10n="NEW"><ahelp hid="." visibility="hidden">Enable Show equation to see the equation of the regression curve.</ahelp></paragraph><comment>hid</comment> +<paragraph xml-lang="en-US" id="par_id558793" role="paragraph" l10n="CHG"><ahelp hid="." visibility="hidden">Enable Show Coefficient of Determination to see the determination coefficient of the regression curve.</ahelp></paragraph> + <paragraph xml-lang="en-US" id="par_id7735221" role="paragraph" l10n="NEW">You can also calculate the parameters using Calc functions as follows.</paragraph> + <paragraph xml-lang="en-US" id="hd_id5744193" role="heading" level="2" l10n="NEW">The linear regression equation</paragraph> + <paragraph xml-lang="en-US" id="par_id9251991" role="paragraph" l10n="NEW">The <emph>linear regression</emph> follows the equation <item type="literal">y=m*x+b</item>.</paragraph> + <paragraph xml-lang="en-US" id="par_id7951902" role="code" l10n="NEW">m = SLOPE(Data_Y;Data_X) </paragraph> + <paragraph xml-lang="en-US" id="par_id6637165" role="code" l10n="NEW">b = INTERCEPT(Data_Y ;Data_X) </paragraph> + <paragraph xml-lang="en-US" id="par_id7879268" role="paragraph" l10n="NEW">Calculate the coefficient of determination by</paragraph> + <paragraph xml-lang="en-US" id="par_id9244361" role="code" l10n="NEW">r² = RSQ(Data_Y;Data_X) </paragraph> + <paragraph xml-lang="en-US" id="par_id2083498" role="paragraph" l10n="NEW">Besides m, b and r² the array function <emph>LINEST</emph> provides additional statistics for a regression analysis.</paragraph> + <paragraph xml-lang="en-US" id="hd_id2538834" role="heading" level="2" l10n="NEW">The logarithm regression equation</paragraph> + <paragraph xml-lang="en-US" id="par_id394299" role="paragraph" l10n="NEW">The <emph>logarithm regression</emph> follows the equation <item type="literal">y=a*ln(x)+b</item>.</paragraph> + <paragraph xml-lang="en-US" id="par_id2134159" role="code" l10n="NEW">a = SLOPE(Data_Y;LN(Data_X)) </paragraph> + <paragraph xml-lang="en-US" id="par_id5946531" role="code" l10n="NEW">b = INTERCEPT(Data_Y ;LN(Data_X)) </paragraph> + <paragraph xml-lang="en-US" id="par_id5649281" role="code" l10n="NEW">r² = RSQ(Data_Y;LN(Data_X)) </paragraph> + <paragraph xml-lang="en-US" id="hd_id7874080" role="heading" level="2" l10n="NEW">The exponential regression equation</paragraph> + <paragraph xml-lang="en-US" id="par_id4679097" role="paragraph" l10n="NEW"> For exponential regression curves a transformation to a linear model takes place. The optimal curve fitting is related to the linear model and the results are interpreted accordingly. </paragraph> + <paragraph xml-lang="en-US" id="par_id9112216" role="paragraph" l10n="NEW">The exponential regression follows the equation <item type="literal">y=b*exp(a*x)</item> or <item type="literal">y=b*m^x</item>, which is transformed to <item type="literal">ln(y)=ln(b)+a*x</item> or <item type="literal">ln(y)=ln(b)+ln(m)*x</item> respectively.</paragraph> + <paragraph xml-lang="en-US" id="par_id4416638" role="code" l10n="NEW">a = SLOPE(LN(Data_Y);Data_X) </paragraph> + <paragraph xml-lang="en-US" id="par_id1039155" role="paragraph" l10n="CHG">The variables for the second variation are calculated as follows:</paragraph> + <paragraph xml-lang="en-US" id="par_id7184057" role="code" l10n="NEW">m = EXP(SLOPE(LN(Data_Y);Data_X)) </paragraph> + <paragraph xml-lang="en-US" id="par_id786767" role="code" l10n="NEW">b = EXP(INTERCEPT(LN(Data_Y);Data_X)) </paragraph> + <paragraph xml-lang="en-US" id="par_id7127292" role="paragraph" l10n="NEW">Calculate the coefficient of determination by</paragraph> + <paragraph xml-lang="en-US" id="par_id5437177" role="code" l10n="NEW">r² = RSQ(LN(Data_Y);Data_X) </paragraph> + <paragraph xml-lang="en-US" id="par_id6946317" role="paragraph" l10n="NEW">Besides m, b and r² the array function LOGEST provides additional statistics for a regression analysis.</paragraph> + <paragraph xml-lang="en-US" id="hd_id6349375" role="heading" level="2" l10n="NEW">The power regression equation</paragraph> + <paragraph xml-lang="en-US" id="par_id1857661" role="paragraph" l10n="NEW"> For <emph>power regression</emph> curves a transformation to a linear model takes place. The power regression follows the equation <item type="literal">y=b*x^a</item> , which is transformed to <item type="literal">ln(y)=ln(b)+a*ln(x)</item>.</paragraph> + <paragraph xml-lang="en-US" id="par_id8517105" role="code" l10n="NEW">a = SLOPE(LN(Data_Y);LN(Data_X)) </paragraph> + <paragraph xml-lang="en-US" id="par_id9827265" role="code" l10n="NEW">b = EXP(INTERCEPT(LN(Data_Y);LN(Data_X)) </paragraph> + <paragraph xml-lang="en-US" id="par_id2357249" role="code" l10n="NEW">r² = RSQ(LN(Data_Y);LN(Data_X)) </paragraph> + <paragraph xml-lang="en-US" id="hd_id9204077" role="heading" level="2" l10n="NEW">Constraints<comment>UFI: is this still so?</comment></paragraph> + <paragraph xml-lang="en-US" id="par_id7393719" role="paragraph" l10n="CHG"> The calculation of the trend line considers only data pairs with the following values:</paragraph> + <list type="unordered"> + <listitem> + <paragraph xml-lang="en-US" id="par_id7212744" role="paragraph" l10n="NEW">logarithm regression: only positive x-values are considered,</paragraph> + </listitem> + <listitem> + <paragraph xml-lang="en-US" id="par_id1664479" role="paragraph" l10n="NEW">exponential regression: only positive y-values are considered,</paragraph> + </listitem> + <listitem> + <paragraph xml-lang="en-US" id="par_id8734702" role="paragraph" l10n="NEW">power regression: only positive x-values and positive y-values are considered.</paragraph> + </listitem> + </list> + <paragraph xml-lang="en-US" id="par_id181279" role="paragraph" l10n="NEW">You should transform your data accordingly; it is best to work on a copy of the original data and transform the copied data.</paragraph> + <paragraph xml-lang="en-US" id="hd_id7907040" role="heading" level="2" l10n="NEW">The polynomial regression equation</paragraph> + <paragraph xml-lang="en-US" id="par_id8918729" role="paragraph" l10n="NEW">A <emph>polynomial regression</emph> curve cannot be added automatically. You must calculate this curve manually. </paragraph> + <paragraph xml-lang="en-US" id="par_id33875" role="paragraph" l10n="NEW">Create a table with the columns x, x², x³, … , xⁿ, y up to the desired degree n. </paragraph> + <paragraph xml-lang="en-US" id="par_id8720053" role="paragraph" l10n="NEW">Use the formula <item type="literal">=LINEST(Data_Y,Data_X)</item> with the complete range x to xⁿ (without headings) as Data_X. </paragraph> + <paragraph xml-lang="en-US" id="par_id5068514" role="paragraph" l10n="NEW">The first row of the LINEST output contains the coefficients of the regression polynomial, with the coefficient of xⁿ at the leftmost position.</paragraph> + <paragraph xml-lang="en-US" id="par_id8202154" role="paragraph" l10n="NEW">The first element of the third row of the LINEST output is the value of r². See the <link href="text/scalc/01/04060107.xhp#Section8">LINEST</link> function for details on proper use and an explanation of the other output parameters.</paragraph> + <section id="relatedtopics"> + <paragraph xml-lang="en-US" id="par_id4562211" role="paragraph" l10n="CHG"><link href="text/schart/01/04050000.xhp">Y Error Bars tab page</link></paragraph> + </section> + </body> +</helpdocument>
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