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?
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.