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VIF is the abbreviation of variance inflation factor which is a measure of the amount of multicollinearity that exists in a set of multiple regression variables.
*The VIF value being above the upper limit of 10 suggest that there is severe multicollinearity
The VIF Equation:
The VIF value is below the upper limit of 10 (1.353 < 10) therefore it reveals that Wfood is not strongly correlated with the other independent variables and there is no multicollinearity.
how to get the proportional allocation of the give stratified random sampling example
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