Supervised /
Linear Regression
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Linear regression finds the line of best fit.
We evaluate the model using SSR (sum of squared residuals).
A residual is the difference between the sample and prediction.
What does linear regression on a single variable do?
How do we evaluate the accuracy of the model?
What is a residual?