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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.
Can I use ICC for this kind of data? Wind Month Day Temp(DV) 7.4 5 1 67 8 5 2 72 12.6 5 3 74 11.5 5 4 62 I am taking temp as the dependent variable. There are many more values.
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Categorizing continuous variables : A practice which involves the conversion of the continuous variables into the series of the categories, which is common in the field of medical
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