I'm trying to determine collinearity between chronic disease variables. Can I use chi-square (maybe increase the significance to 0.1), and then Cramer's V or phi to determine the strength of the relationship?
Between 0-1, what is a 'safe' range where the relationship is weak and can be ignored?
Both cramer's v and phi statistics are for contingency .
If you are running a regression model, I suggest VIF or COLLIN option of proc reg.
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ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.