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authorIvo Hinkelmann <ihi@openoffice.org>2007-11-23 15:36:58 +0000
committerIvo Hinkelmann <ihi@openoffice.org>2007-11-23 15:36:58 +0000
commita4f35dc1413ed668c21f9351477ab260a38fa5fc (patch)
tree3fc4a4b3eaa1aea0cfe6eca08595d09777ff8565 /helpcontent2/source/text/schart/01/04050100.xhp
parent8ca75f6e7bbfdcc10edc2d64eb68a6befe9de85b (diff)
INTEGRATION: CWS hcshared12 (1.2.2); FILE MERGED
2007/10/30 13:56:27 ufi 1.2.2.1: Zwischenstand
Diffstat (limited to 'helpcontent2/source/text/schart/01/04050100.xhp')
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1 files changed, 3 insertions, 3 deletions
diff --git a/helpcontent2/source/text/schart/01/04050100.xhp b/helpcontent2/source/text/schart/01/04050100.xhp
index dbd1b82a59..6a635545df 100644
--- a/helpcontent2/source/text/schart/01/04050100.xhp
+++ b/helpcontent2/source/text/schart/01/04050100.xhp
@@ -7,9 +7,9 @@
*
* $RCSfile: 04050100.xhp,v $fileonly,v $
*
- * $Revision: 1.2 $
+ * $Revision: 1.3 $
*
- * last change: $Author: vg $ $Date: 2007-09-21 09:47:35 $
+ * last change: $Author: ihi $ $Date: 2007-11-23 16:36:58 $
*
* The Contents of this file are made available subject to
* the terms of GNU Lesser General Public License Version 2.1.
@@ -83,7 +83,7 @@
<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="NEW">or</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>