From b648b71a8e7180c976aa66dfe05afcf152a1e19d Mon Sep 17 00:00:00 2001 From: Jason Stover Date: Tue, 11 Mar 2008 03:39:59 +0000 Subject: [PATCH] Fixed ellipses --- doc/regression.texi | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/doc/regression.texi b/doc/regression.texi index 66125b48..2a336853 100644 --- a/doc/regression.texi +++ b/doc/regression.texi @@ -10,24 +10,24 @@ assumptions typical in linear regression: @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 -@math{b_0,...,b_k} and produces output relevant to inferences for the +@math{b_0,@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 -- 2.30.2