https://github.com/ruoheng-du/multivariate-data-analysis
Multivariate Data Analysis | Spring 2023
https://github.com/ruoheng-du/multivariate-data-analysis
ancova-analysis linear-regression logistic-regression minitab multiple-linear-regression python regression-models time-series-analysis
Last synced: 2 months ago
JSON representation
Multivariate Data Analysis | Spring 2023
- Host: GitHub
- URL: https://github.com/ruoheng-du/multivariate-data-analysis
- Owner: ruoheng-du
- Created: 2023-07-03T07:18:15.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-30T19:46:30.000Z (9 months ago)
- Last Synced: 2025-01-15T19:28:46.888Z (4 months ago)
- Topics: ancova-analysis, linear-regression, logistic-regression, minitab, multiple-linear-regression, python, regression-models, time-series-analysis
- Language: Python
- Homepage:
- Size: 22.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Multivariate Data Analysis | Spring 2023
This is the repository for analytical reports done in Regression and Multivariate Data Analysis course during Spring 2023. There are five reports throughout the semester and the statistical software is Minitab. The datasets, reports, and Minitab commands can be found in the report#1 to report#5 directories. Please feel free to email me at [email protected] for any more information.### Report#1: Simple Linear Regression - Relationship Between Health Expenditure and GDP Per Capita
Health expenditure (% of GDP) = 5.685 + 0.0597 * GDP per capita (in thousands)
### Report#2: Multiple Linear Regression - Thermal Expansion Error Modeling of High-speed Electric Spindle
Delta L = -21.82 + 1.551 * (T0-T15) + 1.026 * (T13-T15)
### Report#3: Time Series - Time Series Analysis of Consumer Price Index
CPI = 118.1 + 0.1628 * Wheat Market Price - 0.325 * Time_1 + 0.00339 * Time_2 + 0.410 * CPI_Lag1 - 0.519 * CPI_Lag11
### Report#4: ANCOVA - Examining the Relationship Between Health Expenditure, GDP per Capita, and Continent
![]()
### Report#5: Logistic Regression - Predicting Level of Development for Countries
![]()