How can i do a Multiple Linear Regression
显示 更早的评论
Hello everyone, how are you all doing?
I have some variables that i want to correlate to see how they interact.
How can i use the "regress" function being that my variables are Temperature Anomaly, Precipitation Anomaly, River Discharge, Globals Index such as Niño, Atlantic Meridional Mode, South Tropical Atlantic, and more...
where should i put these variables on the function? I tried to see the "help regress" but i still have a lot of lack of understanding. ]
For example, i want to know how the these indexes have impact on the temperature over a specific region.
After that, i want to know the same with the precipitation, sea level...
Thank you.
采纳的回答
the cyclist
2023-3-27
编辑：the cyclist
2023-3-27
My advice would be to try to read and understand the example from the documentation page for regress.
If you stick with regress, then you should put all your explanatory variables into one numeric array called X, and then if you are trying to predict a variable called Temp, then the syntax will be
[b,bint,r,rint,stats] = regress(Temp,X)
The documentation page explains what all of the output means.
If you use fitlm instead, you can set up your variables in the same way, and then the syntax will be
mdl = fitlm(X,Temp)
You will then be able to get the model coefficients, and much more information about the model. It will be more work to understand at first, but important to learn it.
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Weather and Atmospheric Science 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 
