This Shiny application predicts Sepal Width based on Sepal Length using a linear model trained on the built-in iris dataset.

It’s designed to be simple and beginner-friendly — ideal for users who want to understand how linear regression works in practice.

• Input: A slider lets users choose a Sepal Length value (range 4–8 cm).
• The server uses a linear regression model:

lm(Sepal.Width ~ Sepal.Length, data = iris)

• Output:
  • Text displaying the predicted Sepal Width
  • A plot of all Sepal Length vs Sepal Width with a regression line
  • A red dot indicating the prediction based on user input

This returns the expected Sepal Width when Sepal Length is 6.3 cm, based on the model.

🔗 Try the app:
https://cv6m1k-hanifah-gladis.shinyapps.io/sepal-width-app/

📂 View the code on GitHub:
https://github.com/hanifahgladis/sepal-width-app

This app was built with R, Shiny, and deployed using shinyapps.io.

Thank you.