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[Pspp-cvs] pspp/doc regression.texi
From: |
Jason H Stover |
Subject: |
[Pspp-cvs] pspp/doc regression.texi |
Date: |
Tue, 11 Mar 2008 03:39:59 +0000 |
CVSROOT: /sources/pspp
Module name: pspp
Changes by: Jason H Stover <jstover> 08/03/11 03:39:59
Modified files:
doc : regression.texi
Log message:
Fixed ellipses
CVSWeb URLs:
http://cvs.savannah.gnu.org/viewcvs/pspp/doc/regression.texi?cvsroot=pspp&r1=1.8&r2=1.9
Patches:
Index: regression.texi
===================================================================
RCS file: /sources/pspp/pspp/doc/regression.texi,v
retrieving revision 1.8
retrieving revision 1.9
diff -u -b -r1.8 -r1.9
--- regression.texi 10 Mar 2008 03:02:38 -0000 1.8
+++ regression.texi 11 Mar 2008 03:39:59 -0000 1.9
@@ -10,24 +10,24 @@
@itemize @bullet
@item The data set contains n observations of a dependent variable, say
-Y_1,...,Y_n, and n observations of one or more explanatory
-variables. Let X_11, X_12, ..., X_1n denote the n observations of the
-first explanatory variable; X_21,...,X_2n denote the n observations of the
-second explanatory variable; X_k1,...,X_kn denote the n observations of the kth
+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
explanatory variable.
@item The dependent variable 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, ..., b_k} are unknown
-coefficients, and @math{Z_1,...,Z_n} are independent, normally
+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
``error'' terms are unobserved. This relationship is called the
``linear model.''
@end itemize
The REGRESSION procedure estimates the coefficients
address@hidden,...,b_k} and produces output relevant to inferences for the
address@hidden,@dots{},b_k} and produces output relevant to inferences for the
linear model.
@c If you add any new commands, then don't forget to remove the entry in
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