This app provides an interactive platform for linear regression analysis. Users can upload their own datasets or explore built-in sample datasets like mtcars and faithful. It generates insightful visualizations, model summaries, and residual analyses, making regression modeling accessible and intuitive.
The app is ideal for students, researchers, and analysts who need to explore relationships between variables quickly. It provides automated model diagnostics, including correlation matrices, scatterplots with regression lines, and QQ plots. The user-friendly interface eliminates the need for coding knowledge while offering comprehensive statistical outputs.
- Visit the app at Shiny App Link.
- Upload a CSV file or choose a built-in dataset from the dropdown menu.
- Select variables for regression and explore visualizations and analyses.
- Optionally, predict new values or download a detailed regression summary.
Users can refer to my email – mpc5ya@virginia.edu for assistance with the app.
Additionally, the source code is available on GitHub: GitHub Repository.
This app was created by Huy Nguyen, Eddie Xiao, and Meng Xu as part of an APMA 3150 coursework project, aiming to make statistical analysis simple and accessible. Feedback and suggestions are always welcome!