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Hands-on 2: Optimization for SLR

Instructions

Implementation of the Mathematical Model of Predictive Analysis, Simple Linear Regression in python.

Introduction

What is Linear Regression? Linear regression quantifies the relationship between one or more predictor variable(s) and one outcome variable. Linear regression is commonly used for predictive analysis and modeling. For example, it can be used to quantify the relative impacts of age, gender, and diet (the predictor variables) on height (the outcome variable). Linear regression is also known as multiple regression, multivariate regression, ordinary least squares (OLS), and regression.

References

[1] T. Bock, “What is Linear regression?”, Displayr, 05-abr-2018. [En línea]. Disponible en: https://www.displayr.com/what-is-linear-regression/. [Consultado: 17-abr-2023].

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Hands-on 2: Simple Linear Regression for SIA I

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