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I'm currently studying university level statistics and I'm struggling to wrap my head around the concept of variance as a function of the mean. How does this affect linear regression and why does it violate the assumption of constant variance? How can you visually assess stable variance?

Ellie
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    Related: http://stats.stackexchange.com/questions/68710/heteroskedasticity-residual-plot-interpretation http://stats.stackexchange.com/questions/9322/conditional-homoskedasticity-vs-heteroskedasticity – kjetil b halvorsen Aug 08 '15 at 11:43

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