I've just started on data analytics. Currently I am using python to find the correlation between categorical data (independent) and continuous data (dependent). I know that the test is used to determine if there are statistically significant differences between the means of three or more independent (unrelated) groups. However, how does knowing the differences between the means help with finding the correlation?
To find correlation between categorical data(independent) and continuous data(dependent), chi-square statistic is computed. The procedure mentioned by you is neither applicable here nor it is an established procedure. To understand further, you need an understanding of relation beteen t-statistics and r.