Inference, estimation, and decision-making from data
Fitting a regression is the easy part. The harder question is whether you can trust it. Model diagnostics are the checks that catch a model that fits the numbers but violates the assumptions underneath. The most useful object to look at is the residual: e = y − ŷ, the leftover the model couldn't explain.
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▶ Model Diagnostics