Multiple variables can be correlated, affecting the outcome of the dependent variable. What's the process for determ...
Multiple variables can be correlated, affecting the outcome of the dependent variable. What's the process for determining if more than one variable contributes to the outcome of a single dependent variable.
Homework Answers
This relates to Multiple Linear Regression.
Multiple variables affecting the dependent variable can be correlated. This problem is known as multicollinearity.
One can use stepwise regression to conclude that if more than obe variable contributes to outcome of a single dependent variable or not. In stepwise regression (both direction), we start with no variable in the model. Then fit the regression model on each independent variable and see which one is most significant. And again carry on the procedure. This will give the significant variables affecting the dependent variable and problem of multicollinearity will also get reduced.
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Multiple variables can be correlated, affecting the outcome of the dependent variable. What's the process for determ...
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