Fundamentals of Linear Regression / 線形回帰の基礎

Version 1.0.3 (19,9 Mo) par
Understanding the Fundamentals of Linear Regression / 統計モデリングの教科書: 線形回帰モデル
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Mise à jour 21 mars 2024

Understanding the Fundamentals of Linear Regression / 統計モデリングの教科書: 線形回帰モデル

(Both English and Japanese available!)
Linear regression is the simplest and the most frequently used technique by front-line data analysts but it is not straightforward to make the most of the method without having a good interpretation of the output of the model.
This content will help fill the gap and you will be able to apply this simplest model to problems before jumping on unnecessarily complecated techniques.
The story in the scripts unfolds in a manner of dialogue between two characters: (A) Beginner and (B) Expert denoted by A and B respectively.

Quick view into the scripts

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Setup

1. Open the project file "FundamentalsOfLinearRegression.prj" by double-clicking it
2. Open the main scripts from the shortcut menu: (1) - (3)

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Requires MATLAB release R2022a or later

3p: Nothing

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Citation pour cette source

Hiro Yoshino (2024). Fundamentals of Linear Regression / 線形回帰の基礎 (https://github.com/mathworks/Fundamentals-of-Linear-Regression/releases/tag/1.0.3), GitHub. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2022a
Compatible avec toutes les versions
Plateformes compatibles
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Version Publié le Notes de version
1.0.3

See release notes for this release on GitHub: https://github.com/mathworks/Fundamentals-of-Linear-Regression/releases/tag/1.0.3

1.0.2

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.