統計モデリングの教科書: 線形回帰モデル

version 1.0.2 (5.39 MB) by Hiro
Understanding the Fundamentals of Linear Regression

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Updated Wed, 29 Jun 2022 11:24:11 +0000

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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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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.

線形回帰は現場のデータ解析者に最も用いられる、一番シンプルなモデルですが、そのモデルを最大限活用するのは結果の正しい解釈ができなければ簡単では有りません。 このコンテンツはそのギャップを埋める助けとなり、不必要に複雑なテクニックに飛びつく前に、この最もシンプルなモデルを問題に適用することができるようになることでしょう。スクリプトのストーリーは、2人の登場人物、(A)初心者(B)専門家の対話形式で展開されます:それぞれA、Bで示されます。

Setup

To Run:

  1. Open the project file "Basicsofstatisticalmodeling1.prj"
  2. Open the main scripts from the shortcut menu: (1) - (3)

MathWorks Products (https://www.mathworks.com)

Requires MATLAB release R2022a or newer

3rd Party Products:

3p: Nothing

Getting Started

The following information may help get started:

License

The license is available in the License file within this repository

Community Support

MATLAB Central

Copyright 2022 The MathWorks, Inc.

Cite As

Hiro (2022). 統計モデリングの教科書: 線形回帰モデル (https://github.com/mathworks/Fundamentals-of-Linear-Regression/releases/tag/1.0.2), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2022a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.