understanding Linear regression model equation after simplifying.
显示 更早的评论
Hello,
I have run Linear regression on 2 independent variables (b,c) and one dependent variable(a) as shown below.
the model equation is simple as ==> y = intercept + x1*b + x2*c
However, When I simplyfy the model using step as shown below
I could'nt be able to understand the model equation. ==> y~ 1+ x1*x2.
how would I make the equation?
Any help would be appreciated.
Thanking you in anticipation.
采纳的回答
Jeff Miller
2021-11-17
0 个投票
I think the notation y~ 1+ x1*x2 is shorthand for y~ 1*b0+ b1*x1 + b2*x2 + b3*x1*x2. The four b values are the four estimates in the table. The notation is a bit confusing because the interaction term x1:x2 is the numerical product x1*x2. In the model notation, x1*x2 refers to all of the possible combinations of the terms separated by *'s, i.e. x1, x2, and x1:x2.
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Linear Predictive Coding 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
