Fundamentals of Linear Regression / 線形回帰の基礎

Versione 1.0.3 (19,9 MB) da
Understanding the Fundamentals of Linear Regression / 統計モデリングの教科書: 線形回帰モデル
Aggiornato 21 mar 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

MATLAB Online で実行するには をクリック

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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Cita come

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. Recuperato .

Compatibilità della release di MATLAB
Creato con R2022a
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Versione Pubblicato Note della release
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

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.