Issues that may be encountered in linear regression analysis
Selected argument time to pay attention: remove multicollinearity interference
What is multicollinearity interference?
Strongly correlated variables
Multicollinearity
Avoid two variables enter into a strong correlation model, the solution is to keep only one.
Eliminate multicollinearity method:
If GVIF> 10 needs to be adjusted
How to pick an argument input to the model
Input arguments are mostly good, can improve the accuracy of the regression model. On the other hand, the argument is also good for the construction of input, you can easily understand business colleagues.
Weigh how much of the standard arguments:
With ols_all_possible olsrr packet () function
The above figures are calculated after you can create a linear regression model
Analysis Model
