Okay the F test declares significance and the IDVs’ T-tests p-values prove the significance of each IDV as well. Yet, correlation between variables is the reason to rule out Multicollinearity. So WHAT is the true test to rule out Multicollinearity ? F test & test comparisons giving results of significance in consonance. or Low Correlation between the IDVs ?
There isn’t a “test” for Multicollinearity to my knowledge in the same way as a DW or Breutsche Pagen (sic). Just look for high R squared and insignificant t test.
Also a high F stat but low t stats gives a hint you might have it.
exactly. no formal test, but high F (model significance) and low t stats are a good hint that you might have it
Also, as what we saw on one of the samples/mocks, think about the definition of multicollinearity, which is correlation of the independent variables. the vignette may say something about the correlation, but not actually show us R^2