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Modeling, Regression, and Analysis of the CollegeDistance dataset

Home Page: https://nbalepur.github.io/College-Distance-Modeling

License: MIT License

HTML 100.00%

college-distance-modeling's Introduction

College Distance Modeling

This project attempts to analyze and predict test scores for students against various social and economic factors

Note: The easiest way to see the results of the project is to navigate here

Data Tools

Dataset

Our dataset is the CollegeDistance dataset which can be found here

This dataset has a total of 4739 observations of 15 variables (14 predictors and 1 response). The said variables are:

  • gender: a factor indicating gender
  • ethnicity: factor indicating ethnicity (African-American, Hispanic or other)
  • score: base year composite test score
  • fcollege: factor. Is the father a college graduate?
  • mcollege: factor. Is the mother a college graduate?
  • home: factor. Does the family own their home?
  • urban: factor. Is the school in an urban area?
  • unemp: country unemployment rate in 1980
  • wage: state hourly wage in manufacturing in 1980
  • distance: distance from 4-year college (in 10 miles)
  • tuition: average state 4-year college tuition (in 1000 USD)
  • education: number of years of education
  • income: factor. Is the family income above 25,000 USD per year?
  • region: factor indicating region (West or other)

Our project attempts to predict score from a combination of the other varaibles

R Libraries

This project was created in R with a variety of libraries:

  • readr
  • knitr
  • faraway
  • lmtest
  • zoo
  • ggplot2
  • reshape2
  • rsq

Getting Started

To get this project running on your machine, follow the steps below

Viewing the Output

The simplest way to view the project is to go to this link, where you will be able to see the results of our project

Additionally, you can download the file final-data-project.html file and open it with your prefered browser

Opening the Code

This project was created in R, so I recommend R Studio as the IDE to run the application

After installing R Studio, navigate to your preferred terminal and type the following command:

git clone https://github.com/nbalepur/College-Distance-Modeling.git

You will then see the following files:

  • CollegeDistance.csv: The dataset used in this project
  • final-data-project.Rmd: Contains the R Code for computations and calculations
  • final-data-project.html: The HTML output of the project

Authors

  • Nishant Balepur
  • Allison Zhang
  • Kobe Dela Cruz

Acknowledgements

This project was created as a final project for STAT 420

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