Ok, i'll try to explain it better:
I created one data frame with two explicatives variables with multicollinearity between them:
Here is the result of the analyse of variance of the multiple regression model made with firt Y~X1+X2 and second Y~X2+X1
Here are the results:
AS you can see, de SSQ...
thank you for your help
Well, I think I need an explanation about the nature of the summary when making a lm on R.
When i make an analysis of variance, it is actually observed that when there is a collinearity between the explanatory variables, the order of entry of the variables in the...
Hello, I had a question about lm in R:
Many subjects deal with the effect of the correlation of explanatory variables that can be negative if the correation between the two variables is too high (multicollinearity)
Indeed this can inflate the p.value or in any case make the slope coefficients...