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I was looking for a simple way to detect outliers in bivariate data and I realize outliers can come in many forms when you look at a scatter plot. I was thinking that I could have students create a residual plot using their line of best fit and then use the residuals to calculate outliers based on 1.5 times the interquartile range. It seems like this could work although I came upon a source that said it would be better to square the residuals. It also seems like this possibly could detect outliers in the y values. I only thought of this because it could incorporate multiple skills that my students should already have. Any ideas if this is feasible or if there are other simple ways that don't involve college level math or AP statistics level math?
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