Even though multiple linear regression is comprised of multiple variables and calculated similarly to simple linear regression, fundamentally I understand that is not an average of multiple simple linear regressions simply bc it is not divided by the number of variables.
What I don’t seem to understand is the difference between a graph showing the simple linear regressions for multiple variables and multiple linear regression
In: 7
It’s just the number of variables.
Linear is just the relationship between X and Y
But Multiple is the relationship between Y and more than one other variable.
It isn’t easy to visualize most multiple linear regressions. They would often be n-dimensional, and you can really only make good visualizations for about 3 dimensions.
So I could see someone displaying all of the simple linear regressions seperately, though this might miss some of the interesting interractions between the variables from your multiple linear model.
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