There are many terms in statistics one should know, and most courses assumes one does.. Further, many statistics text books explain these terms mathematically, and in such a way I do not find it conducive to understanding 🙂 the Blog Deeply Trivial covers quite a few common topics, in an easy to understand way, like this one on what residuals are, and how to visually test for homoskedasticity:

Statistics Sunday: What Are Residuals?

Recently, I wrote two posts about quantile regression – find them here and here. In the first post, I talked about an assumption of linear regression: homoscedasticity, “the variance of scores at one point on the line should be equal to the distribution of scores at other points along the line.”


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