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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.
There is high level of fluctuation in a zigzag pattern in the time series for RESI1 which indicates that there is possibly negative autocorrelation present. Column C11 show
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