If the VIF is equal to 1 there is no multicollinearity among factors, but if the VIF is greater than 1, the predictors may be moderately correlated. Values of more than 4 or 5 are sometimes regarded as being moderate to high, with values of 10 or more being regarded as very high. The higher the value, the greater the correlation of the variable with other variables. Values of VIF that exceed 10 are often regarded as indicating multicollinearity, but in weaker models values above 2.5 may be a cause for concern. How do you import the variance inflation factor?.What is a high value of Multicollinearity?.What are the reasons of Multicollinearity?.How do you test for heteroscedasticity?.How is variance inflation factor calculated?.What value of VIF indicates multicollinearity?.
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