This project is based on my parts of a group research project investigating variables affecting student test scores. It is one of my earlier sophomore year projects.
You can see a Word doc with the output of my code, and my commentary, at my .docx file for Stat-302 project. (Click "View Raw" on the page.)
This repository is based on my work for a larger group project conducted for my intermediate statistics class. I have updated it as I have increased my statistics education. The project was assigned by my professor Professor Zeynep Kacar who gave us instructions and guidance on choosing a dataset, doing exploratory analysis, and then carrying out several statistical tests, including checking assumptions for those tests. We conducted this process to answer our research question: how do the factors in the dataset influence students’ test scores? The other members of my group were Yasmine Jaffier, Natalie Tsuei, and Kristina He. I included the parts of the project that I completed. I included explanations and commentary throughout the code for my project.
For the first portion of the project, I performed some exploratory analysis of two-way relationships between variables. I chose to look at the relationship between score and gender and between score and income. You can see the visualizations and transformations I conducted and the conclusions I reached in code for my project in my html file.
For the second portion of the project, I used a multiple linear regression model to explore our research question. After the exploratory phase of our project, we decided that it would be better to look at student test scores instead of their distance from the nearest college. So, I made student scores the response variable for my multiple linear regression model. I used various scatterplots of the residuals to check the assumptions of multiple linear regression. Then I created, refined, and analyzed the multiple linear regression model. You can see the process I went through, including my explanations, commentary, and conclusions, in the code for my project in my .docx file.