https://github.com/yane07/world-happiness-report
This research aims to identify the factors that influence the World Happiness Report using multiple linear regression with the Python
https://github.com/yane07/world-happiness-report
multiple-linear-regression python
Last synced: about 2 months ago
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This research aims to identify the factors that influence the World Happiness Report using multiple linear regression with the Python
- Host: GitHub
- URL: https://github.com/yane07/world-happiness-report
- Owner: yane07
- Created: 2024-12-08T16:39:57.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-08T18:53:30.000Z (over 1 year ago)
- Last Synced: 2024-12-27T04:14:16.163Z (over 1 year ago)
- Topics: multiple-linear-regression, python
- Language: Jupyter Notebook
- Homepage:
- Size: 150 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Multiple Linear Regression
The data I am using is secondary data. This research aims to identify the factors that influence the World Happiness using multiple linear regression with the Python programming language.
The variables I selected are:
Y: Happiness
X1: GDP Per Capita
X2: Social Support
X3: Healthy Life Expectancy
X4: Freedom to Make Life Choices
X5: Generosity
X6: Perceptions of Corruption