[Pspp-cvs] pspp/doc regression.texi ChangeLog

[Jason H Stover]

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.