Скачать или смотреть Detection of Multicollinearity in Econometrics I statistics

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https://wa.me/c/919009368238 Indicators that multicollinearity may be present in a model include the following:

Large changes in the estimated regression coefficients when a predictor variable is added or deleted
Insignificant regression coefficients for the affected variables in the multiple regression, but a rejection of the joint hypothesis that those coefficients are all zero (using an F-test)
If a multivariable regression finds an insignificant coefficient of a particular explanator, yet a simple linear regression of the explained variable on this explanatory variable shows its coefficient to be significantly different from zero, this situation indicates multicollinearity in the multivariable regression.

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