https://github.com/bjoern-hempel/js-regression-framework

This is a javascript regression framework.
https://github.com/bjoern-hempel/js-regression-framework

javascript linear-regression mathematics mit-license regression regression-algorithms regression-analysis statistics

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This is a javascript regression framework.

• Host: GitHub
• URL: https://github.com/bjoern-hempel/js-regression-framework
• Owner: bjoern-hempel
• License: mit
• Created: 2018-08-21T22:05:15.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-11-07T22:54:13.000Z (about 6 years ago)
• Last Synced: 2024-11-07T03:44:22.464Z (3 months ago)
• Topics: javascript, linear-regression, mathematics, mit-license, regression, regression-algorithms, regression-analysis, statistics
• Language: JavaScript
• Homepage:
• Size: 27.3 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# A Javascript regression framework

This is a javascript regression analysis framework.

## 0. Introduction

Regression analysis is a statistical analysis technique that aims to model relationships between a dependent variable and one or more independent variables.

## 1. Linear regression (2D)

Linear regression, which is a special case of the general concept of regression analysis, is a statistical technique that attempts to explain an observed dependent variable by one or more independent variables.

### 1.1 Preliminary considerations

#### 1.1.1 Calculation of the slope m



#### 1.1.2 Calculation of the intercept b



#### 1.1.3 Calculation of the scope R2



### 1.2 Usage

Linear regression in 2-dimensional space, which is a special case of the general concept of regression analysis, is a statistical method that attempts to explain an observed dependent variable by one or more independent variables.

```javascript

var regression = Regression.linear();

regression.addRecord(20,  0);

regression.addRecord(16,  3);

regression.addRecord(15,  7);

regression.addRecord(16,  4);

regression.addRecord(13,  6);

regression.addRecord(10, 10);

var mn = regression.calculate();

console.log(String('y(x) = %s * x + %s').replace(/%s/, mn.m).replace(/%s/, mn.n));

```

**It returns:**

```javascript

y(x) = -0.9821428571428571 * x + 19.732142857142854

```

## A. Authors

* Björn Hempel  - _Initial work_ - [https://github.com/bjoern-hempel](https://github.com/bjoern-hempel)

## B. Licence

This tutorial is licensed under the MIT License - see the [LICENSE.md](/LICENSE.md) file for details

## C. Closing words

Have fun! :)