摘要
在进行两直线回归方程比较时,要考虑两个基本问题:①两直线回归方程的斜率是否相同;②两直线回归方程高度差别是否有显著性。我们可以使用指示变量回归 =b_0+b_1X+b_2Z+b_3XZ解决上述问题。式中X是协变量,Z是指示变量。Ho:β3=0和H_0
There are two basic questions to consider
when making a comparison of two linear reg-
ression equations. They are,
1. Are the two slopes the same or different
2. Are the two linear elevations same or
different
we can use the indicator variable regression
to solve above questions
(?)=b_0 +b_1 X+b_2 Z+b_3 XZ
where X is referred to as the covariate and
Z is a indicator variable. The partial F test of
H_0:β_3=0 answers the first question of whether
is a significant difference between the slopes
and the partial F test of H_0:β_2:=0 answers the
second.
出处
《中国卫生统计》
CSCD
北大核心
1992年第4期24-27,共4页
Chinese Journal of Health Statistics
关键词
指示变量
回归方程
Indicator variable Regression equation