2022-05-29 18:14:39
Q Need explanation of a full step-by-step guide to a multiple linear regression
[Q\] Need explanation of a full step-by-step guide to a multiple linear regression
Hello, I'm a student research looking to apply a multiple linear regression to my data set of all continuous values. My question is mainly about a step-by-step idea of how to do this, as I believe I understand the general gist of it all, but not quite the whole picture.
To start, it is my understanding you plot a scatterplot of your independent vs dependent data and your independent vs independent data. This helps determines if there's a linear relationship between the variables, and if there's any collinearity between your independent variables. In doing so, after this step I can eliminate the independent variables that either have a strong collinearity or no relationship with the dependent variable.
After the initial screen, I am under the impression I can run a step-wise(or forward/backward) multiple linear regression slowly adding in the variables that fits the BEST MODEL. Is that a correct way to look at it?
/r/statistics
https://redd.it/v048sp
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