preivew regression

_toc.yml

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     - file: notes/2023-02-28
     - file: notes/2023-03-02
     - file: notes/2023-03-07
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     - file: notes/2023-03-21
+    - file: notes/2023-03-28
   - caption: Assignments
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notes/2023-03-28.md

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+# Regression Preview 
+
+
+## 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/)
+
+## 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? 
+