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 ruoheng.du@nyu.edu 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