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What is Predicting Wine Quality with Linear Regression about?

This document outlines a project for MCEN 3030 at the University of Colorado, focusing on using linear regression to analyze a dataset of 1599 red wines to predict wine quality based on 11 quantitative variables. The project involves performing a Variance Inflation Factor Analysis to address multicollinearity, executing linear regression to determine coefficients, and evaluating the model

Author

breathernzuki

Language

EN