EnhancedLinearRegression_Pitch

Jbob92
Mar 2025

Introduction

This Shiny app allows users to explore simple linear regression models interactively.
Users can choose a dataset, select predictor and response variables, and view regression results.

How It Works

User Inputs:
- Select dataset (mtcars, iris).
- Choose predictor (x) and response (y) variables.
- Optionally display model summary.
Server Processing:
- Fits a linear regression model dynamically.
- Computes regression coefficients.
- Generates a scatter plot with a fitted regression line.

Key Features

Dynamic UI: Select variables from chosen dataset.
Real-Time Model Updates: Regression updates instantly.
Graphical Output: Scatter plot with regression line.

library(ggplot2)
ggplot(mtcars, aes(x=hp, y=mpg)) + geom_point() + geom_smooth(method="lm", col="red")

plot of chunk unnamed-chunk-1

Demo

The app is deployed on ShinyApps.io.
Try it here: https://jbob92.shinyapps.io/NewRegression/
Source code available on GitHub: https://github.com/JBob92/ShinyApp_Regression.

Summary & Next Steps

Improvements:
- Allow multiple regression models.
- Enhance UI with interactive plots.
- Expand dataset selection.
View the full implementation at https://github.com/JBob92/ShinyApp_Regression.