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Tutorial 3 (Projection) by jais.amit1811 is a document available to read on EtoBox.

This tutorial outlines the steps for performing orthogonal projection using Excel data on house prices from Chinese cities. It includes loading data with Pandas, defining variables, calculating projection coefficients, and checking orthogonality of errors. Additionally, it covers calculating sample variances and the R-squared value, along with fitting a model using statsmodels.

Author
jais.amit1811
Language
EN