So I have data in the form as follows:
- Y vs X1.
- Y vs X2.
- Y vs X3.
- Y vs X4.
Each set has different data values. I need to carry out regression analysis in order to find an equation relating Y to four variables such that Y=f(X1,X2,X3,X4). However, I came to know that regression can only be carried out with one Y and with separate independent variables.
How can I get my equation then ?
If there are more than one independent variable, you need to use multiple regression., running sperate regressions with each IV will lead to biased coefficient values. Therefore, you can run a multiple regression in this case.
Kind regards
Thushara
Yeah Robert. Thanks for the answer. But you see multiple regression can be carried out with one independent variable (as far as I've read) to different other variables. But in my case, my data set has relation between Y to X1 then Y to X2 and so on. How do I combine them together to one Y? Can you elaborate a little on interaction effects ?
Standard multiple regression is one Y several Xs
Multivariate regression is several Ys and one or more Xs.
But I feel we are missing something in your problem; can you explain what you mean by "then" in your last contribution?
If you have not measured all the Ys and all the Xs simultaneously then standard modelling is not going to work
Yeah Kelvyn. You hit on my problem right away. I have seperate Ys with several Xs NOT one Y with several Xs. So I think regression cannot help me in this situation. I need to have one Y with several Xs.
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