This Shiny app predicts miles per gallon (MPG) for cars using the built-in mtcars dataset. Users select horsepower and weight, and the app estimates MPG.

• Inputs: Horsepower & Weight sliders.
• Dataset: mtcars, with real car statistics.

model <- lm(mpg ~ hp + wt, data = mtcars) predict(model, newdata = data.frame(hp = 100, wt = 2.5))

Result: Predicted MPG is displayed below the input widgets.

• Instructions are built into the app page.
• No prior R or statistics knowledge required.
• Try different sliders and see results instantly.

• Shiny App: [Paste your deployed http://shinyapps.io/app link here]
• GitHub Code: [Paste GitHub repo link here]
• Presentation: [Paste Rpubs presentation link here]