If you regressed a dependent variable on multiple independent variables, would it be possible to figure out how much each regressor is explaining the variance of the dependent variable? Or can you only see how well the model as a whole explains the variation?
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This is a FAQ: see [this site search](https://stats.stackexchange.com/search?q=regression+variable+importan*+answers%3A1). https://stats.stackexchange.com/questions/470322 has a really good discussion as well as links to other good threads about this subject. A comment by Nick Cox at https://stats.stackexchange.com/questions/60872/how-to-split-r-squared-between-predictor-variables-in-multiple-regression/63148#comment121443_60872 is especially pertinent. – whuber Apr 19 '21 at 12:05