What should we always look at before deciding a linear model is a good fit for our data?
What should we do if there looks to be subsets in our data?
What is extrapolation and why is it dangerous?
Describe/define high leverage points
Describe/define outliers.
Describe/define influential points.
Describe a point on a scatterplot that would have a large residual.
What is wrong with working with summary values when comparing two quantitative variables?
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