GMAT | Cash | Gender | Degree | |
GMAT | 1 | |||
Cash | 0.100745 | 1 | ||
Gender | -0.22375 | 0.078179 | 1 | |
Degree | -0.24514 | 0.087861 | -0.08607 | 1 |
Am interested to know whether there is multicollinearity between GMAT, cash, Gender and Degree. Here is the correlation table. If the threshold is >+0.35 and <-).35 for multicollinearity, my conclusion is:
a.) all the Xs are independent
b.) none of the Xs are independent
c.) only 2 of the Xs are independent
d.) only 1 x is independent
It is given that the threshold for multicollinearity is correlation value less than -0.35 or more than +0.35.
This means if the correlation is less than -0.35, we will consider multicollinearity and if correlation is more than +0.35, then we will also consider multicollinearity between variables.
In the table, we can see that none of the correlation is less than -0.35 or more than +0.35
Therefore, we can say that there is no multicollinearity.
Option A is correct because all variables are independent and there is no multicollinearity
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