s***1 发帖数: 343 | 1 fit了一个model,里面10来个variable,加了5,6个significant而且有实际意义的
interaction,
问简单点,比如Y=2X1+3X2+7X3+10X4-2X1X2-X1X3-1.5X2X4,都是continuous variable
,不准备变成categorical的
那么最终的时候X1前面的系数如果要单纯解释,不和interaction项结合解释,怎么解
释法?
做t-test的时候,X1前面的coefficient的t值和p-value需要怎么解释?
谢谢! | z*******n 发帖数: 15481 | 2 x1的系数就是
EXPECTED DIFFERENCE IN Y COMPARING TWO POPULATION DIFFERING IN X1 BY 1 WHILE
X2 AND X3 HELD 0 AND X4 HELD CONSTANT.
BAOZI,PLEASE! | t**c 发帖数: 539 | 3 haha, good one!
WHILE
【在 z*******n 的大作中提到】 : x1的系数就是 : EXPECTED DIFFERENCE IN Y COMPARING TWO POPULATION DIFFERING IN X1 BY 1 WHILE : X2 AND X3 HELD 0 AND X4 HELD CONSTANT. : BAOZI,PLEASE!
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