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Testing the assumptions of simple linear regression (one predictor variable and one dependent variable) may be easy. But how do you do the tests efficiently when there are tons of predictor variables?
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There are several independent variables and several dependent variables. I want to see how those independent variables affect the dependent variables. In other words, I want analyze: [y1, y2, y3]...
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