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[Pspp-cvs] pspp/doc regression.texi ChangeLog
From: |
Jason H Stover |
Subject: |
[Pspp-cvs] pspp/doc regression.texi ChangeLog |
Date: |
Tue, 11 Mar 2008 21:14:30 +0000 |
CVSROOT: /sources/pspp
Module name: pspp
Changes by: Jason H Stover <jstover> 08/03/11 21:14:30
Modified files:
doc : regression.texi ChangeLog
Log message:
Use math mode more consistently. Mention 0 mean of the error terms.
CVSWeb URLs:
http://cvs.savannah.gnu.org/viewcvs/pspp/doc/regression.texi?cvsroot=pspp&r1=1.9&r2=1.10
http://cvs.savannah.gnu.org/viewcvs/pspp/doc/ChangeLog?cvsroot=pspp&r1=1.53&r2=1.54
Patches:
Index: regression.texi
===================================================================
RCS file: /sources/pspp/pspp/doc/regression.texi,v
retrieving revision 1.9
retrieving revision 1.10
diff -u -b -r1.9 -r1.10
--- regression.texi 11 Mar 2008 03:39:59 -0000 1.9
+++ regression.texi 11 Mar 2008 21:14:29 -0000 1.10
@@ -9,19 +9,19 @@
assumptions typical in linear regression:
@itemize @bullet
address@hidden The data set contains n observations of a dependent variable, say
-Y_1,@dots{},Y_n, and n observations of one or more explanatory
-variables. Let X_11, X_12, @dots{}, X_1n denote the n observations of the
-first explanatory variable; X_21,@dots{},X_2n denote the n observations of the
-second explanatory variable; X_k1,@dots{},X_kn denote the n observations of
the kth
address@hidden The data set contains @math{n} observations of a dependent
variable, say
address@hidden,@dots{},Y_n}, and @math{n} observations of one or more
explanatory
+variables. Let @math{X_{11}, X_{12}, @dots{}, X_{1n}} denote the @math{n}
observations of the
+first explanatory variable; @math{X_{21},@dots{},X_{2n}} denote the @math{n}
observations of the
+second explanatory variable; @math{X_{k1},@dots{},X_{kn}} denote the @math{n}
observations of the kth
explanatory variable.
address@hidden The dependent variable Y has the following relationship to the
address@hidden The dependent variable @math{Y} has the following relationship
to the
explanatory variables:
@math{Y_i = b_0 + b_1 X_{1i} + ... + b_k X_{ki} + Z_i}
where @math{b_0, b_1, @dots{}, b_k} are unknown
coefficients, and @math{Z_1,@dots{},Z_n} are independent, normally
-distributed ``noise'' terms with common variance. The noise, or
+distributed ``noise'' terms with mean zero and common variance. The noise, or
``error'' terms are unobserved. This relationship is called the
``linear model.''
@end itemize
Index: ChangeLog
===================================================================
RCS file: /sources/pspp/pspp/doc/ChangeLog,v
retrieving revision 1.53
retrieving revision 1.54
diff -u -b -r1.53 -r1.54
--- ChangeLog 10 Mar 2008 03:02:38 -0000 1.53
+++ ChangeLog 11 Mar 2008 21:14:29 -0000 1.54
@@ -1,3 +1,9 @@
+2008-03-11 Jason Stover <address@hidden>
+
+ * regression.texi: Made more consistent use of math mode for
+ description of linear regression. Added reference to the mean of
+ the error terms being 0.
+
2008-03-09 Jason Stover <address@hidden>
* regression.texi (REGRESSION): Removed references to subcommand EXPORT.