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# Regression Preview | ||
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## Preview Regression | ||
- [the beginning of sklearn's regression tutorial](https://scikit-learn.org/stable/modules/linear_model.html#ordinary-least-squares) carefully. and skim the rest of it. | ||
- [the linear regression example](https://scikit-learn.org/stable/auto_examples/linear_model/plot_ols.html#sphx-glr-auto-examples-linear-model-plot-ols-py). cut this code into multiple cells and run it, looking at interim points. | ||
- the example page [from this stat course](https://online.stat.psu.edu/stat462/node/101/) | ||
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## Be ready for Thursday | ||
- what are the assumptions of regression generally? | ||
- what are the specific assumptions of linear regression? | ||
- what does data for regression need to have in terms of variable types? | ||
- what are at least three example applications of regression that are not included in the resources above? | ||
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